⚡Stack Radar

Agent Skills & Plugins · Reviewed 28 Oct 2026

Tessl

Agent enablement platform for building AI-native software with structured context.

free tier · tessl.io ↗

Paid against free › Agent Skills & Plugins › Tessl

Tessl at a glance
112.1KEstimated total trafficModeled monthly visits1.8KRanking keywordsPublic search sample89/100Technical health15 pages checked0Referring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

Tessl is an agent enablement platform that helps teams build AI-native software by giving coding agents structured, versioned context S1. It is used by development teams and enterprises to manage agent context, standardize skills, and automate code review S25 S13. Its practical value is a control plane for agent context, enabling faster shipping with governance and cost control S25.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Tessl is an agent enablement platform for AI-native software development S1.
  • Core purpose: It solves the problem of software development being built around the wrong asset—code—rather than agent context S1 S25.
  • Intended users: Development teams and enterprises building with AI agents S25.
  • Product scope: A platform with a skills registry, automated code review, evals, and agent runs S25.
  • Positioning: Positioned as "your control plane for agent context" S25.
  • Claimed distinction: Claims to help teams ship faster without losing control of what agents are running S25.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Development teamsStandardize how they build skills and automate code review S72 S13.
EnterprisesDeploy visibility, governance, and continuous improvement across the AI development stack S25.
Agentic developersAutomate code reviews, fix recurring errors, and ship workflows faster S13.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Skills registryLets teams write and standardize skills like review policies or coding conventions, with scanning and inventory of existing skills S25.
Automated code reviewContinuously scans PRs, logs, and tickets to catch recurring errors and open improvement PRs automatically S13.
Task automationTurns repetitive tasks into permanent GitHub Actions workflows S13.
EvalsFinds failing tests, fixes them, and proves the fix with an eval before it ships S25.
Context controlProvides a control plane for agent context, routing routine work to cheaper models and switching providers with a config change S25.
Security scanningScans and scores every skill in the registry before installation, with support for encoding custom security standards S25.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
GitHub ActionsIntegrationTurns recurring chores into permanent workflows S13.
CLIInterfaceInstalls the Tessl CLI, logs in or signs up, and starts Tessl Agent in the current working directory S13.
LLM providersIntegrationSwitch providers with a config change S25.
Skills registryData portabilityScans and inventories skills across connected repos S25.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Free$0/month, no paid cycle S721,000 credits/month; unlimited publishing and installation; public plugin reviews free S72Credits expire monthly S72
Team$100 per workspace/month, billed monthly S725,000 credits/month; top-ups and spend limits; roles; paid model choice S72No annual commitment S72
EnterpriseCustom, annual credit terms, contact sales S72Volume credit bundles; platform fee plus credits; SSO, policies, multiple workspaces S72Custom terms S72

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
youtube.com111tessl
github.com111baoyu-skills
indexventures.com112tessl
medium.com113tessl
hermes-agent.nousresearch.com113baoyu-skills
codemyspec.com114tessl
lobehub.com114baoyu-skills
instagram.com115tessl
zhuanlan.zhihu.com115baoyu-skills
explainx.ai116baoyu-skills

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

Page typeEvidenceSource
reviewsAI can write code. What does it take to ship?Join AI DevCon, Nov 2-4https://tessl.io/code-review
reviews](https://tessl.co/8az)https://tessl.io/code-review
reviewsBook a Demohttps://tessl.io/code-review
reviewsCareersPricingDocshttps://tessl.io/code-review
reviewsLog inBook a Demohttps://tessl.io/code-review
reviewsCode review that makes your agents better with every PRhttps://tessl.io/code-review
reviewsTessl Code Review finds bugs in your PRs, then updates your code and standards so agents stop repeating them.https://tessl.io/code-review
reviewsBook a demoTry it freehttps://tessl.io/code-review
reviewsStart free with 1,000 credits a monthhttps://tessl.io/code-review
reviewsgithub.com/acme/payments-api/pull/482https://tessl.io/code-review
reviewsAdd idempotency to charge and refund flowshttps://tessl.io/code-review
reviewsfix/charge-idempotencyhttps://tessl.io/code-review
reviewsTessl Code Reviewhttps://tessl.io/code-review
reviews4 lenses · 3 findings · reviewed against 2 standardshttps://tessl.io/code-review
reviewsChanges requestedhttps://tessl.io/code-review
reviewsMerge blocked until findings are resolved or declinedhttps://tessl.io/code-review
reviewssrc/payments/charge.ts+28−6https://tessl.io/code-review
reviewssrc/payments/refund.ts+19−4https://tessl.io/code-review
reviewssrc/payments/idempotency.ts+17−2https://tessl.io/code-review
reviewsskill/review-payments.mdhttps://tessl.io/code-review

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

13

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.7%
MonthSource
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresTessl helps teams build AI-native software by giving coding agents structured, versioned context. Ship AI-powered systems that hold up in real codebases.https://tessl.io/
featuresTalk to the Tessl enterprise team about deploying visibility, governance, and continuous improvement across your AI development stack.https://tessl.io/
featuresIn this episode of AI Native Dev, Simon Maple and Joe Holdcroft return for a chaotic continuation of their previous challenge. Having each created a town simulator app using BASE44 and Bolt.new, they now swap codebases and attempt to implement natural disasters using two different AI tools: Cursor and Windsurf. The twist? Neither developer knows what feature they’ll be adding until it's revealed live, and neither has seen the other’s code. The result is a candid, sometimes frustrating, and often hilarious exploration of how AI development tools perform in messy real-world contexts.https://tessl.io/podcast/vibe-coding-adding-features
featuresThis episode centers on disposable code: code written quickly to test ideas rather than built for long-term maintenance. Simon and Joe dive headfirst into modifying auto-generated, brittle applications, trusting AI to carry out changes on unfamiliar projects. Simon remarks on the benefit of BASE44 in building a prototype with minimal effort, noting, “I didn’t even look at the code.” This hands-off approach highlights the power of disposable code—how AI tools can generate working apps quickly with minimal developer intervention. However, the moment these apps require real changes or sustained iteration, cracks appear. The ease of creation masks fragility under the surface.https://tessl.io/podcast/vibe-coding-adding-features
featuresCursor and Windsurf offer different interpretations of what AI-assisted coding should look like. Cursor prioritizes speed and minimal friction—ideal for iterative prompting—but it struggles with large, compounding requests. Windsurf is more assertive and autonomous but overreaches, often rewriting massive code sections or enforcing strict linting prematurely. Both tools highlight AI’s current strengths and weaknesses: they are fast, flexible, and impressive in narrow scopes, but brittle and error-prone in broad or multi-step tasks. Simon sums it up: “Had I asked Bolt or BASE44 to do this from scratch, it would probably be more successful than asking Cursor to build on broken ground.”https://tessl.io/podcast/vibe-coding-adding-features
featuresThe devs encounter a variety of unanticipated challenges—many introduced by the tools themselves. Simon discovers that disasters resolve without the correct emergency services. Joe faces repeated compile issues due to out-of-order function declarations. Both observe that asking for multiple logical changes in one prompt results in partial or faulty implementation. Perhaps most revealing, both tools misreport what they’ve changed, making it hard to trust that fixes are actually present. Windsurf gets stuck in a lint-fix loop; Cursor repeatedly fails to update runtime behavior despite promising otherwise. The core insight: AI tools are fallible collaborators, and developers must expect and plan for this.https://tessl.io/podcast/vibe-coding-adding-features
featuresAs the episode winds down, Simon and Joe reflect on the current state and future promise of LLM-powered tools. They agree that today’s tools work best for generating greenfield prototypes but are less effective at building sustainable, editable codebases. Joe suggests these tools will shine most in one-off projects or when helping non-developers scaffold apps. Simon, despite his frustrations, notes how far the tooling has come, imagining how magical this would have seemed even four years ago. Both agree that tooling must improve in state tracking, context retention, and change validation to fully integrate into robust workflows.https://tessl.io/podcast/vibe-coding-adding-features
featuresIn this feature-rich episode, the AI Native Dev team showcases the reality of AI-assisted coding in unpredictable terrain. Key lessons include:https://tessl.io/podcast/vibe-coding-adding-features
featuresAI can write code. What does it take to ship?Join AI DevCon, Nov 2-4https://tessl.io/
featuresAI can write code. What does it take to ship?Join AI DevCon, Nov 2-4https://tessl.io/podcast/vibe-coding-adding-features
featuresVibe Coding SimCity II: Injecting Chaos with Natural Disasters and AI Toolshttps://tessl.io/podcast/vibe-coding-adding-features
featuresSimon and Joe swap AI-generated apps and inject natural disasters using Cursor and Windsurf, debugging chaos, brittle code, and battling LLM loops in real time.https://tessl.io/podcast/vibe-coding-adding-features
features[](https://youtu.be/dzXGY8YUx-8)[](https://podcasts.apple.com/us/podcast/the-ai-native-dev-from-copilot-today-to-ai-native/id1756073806?i=1000708456125)[](https://open.spotify.com/episode/62DRk2zvb49pc04VRy1e9T?si=cf4f6fe2dcf744d3)https://tessl.io/podcast/vibe-coding-adding-features
featuresAI Tools & AssistantsAgentic Systemshttps://tessl.io/podcast/vibe-coding-adding-features
featuresSimon Maple and Joe Holdcroft exchange AI-generated town simulators and challenge each other to add natural disasters—without previewing the code. Using Cursor and Windsurf, they try (and sometimes fail) to inject earthquakes, lightning strikes, and chaos. Along the way, they encounter context loss, build failures, brittle UI logic, and surprising wins. They reflect on how AI coding tools actually perform when modifying unfamiliar codebases, and what disposable code really means in practice.https://tessl.io/podcast/vibe-coding-adding-features
featuresIn this episode of AI Native Dev, Simon Maple and Joe Holdcroft return for a chaotic continuation of their previous challenge. Having each created a town simulator app using BASE44 and Bolt.new, they now swap codebases and attempt to implement natural disasters using two different AI tools: Cursor and Windsurf. The twist? Neither developer knows what feature they’ll be adding until it's revealed live, and neither has seen the other’s code. The result is a candid, sometimes frustrating, and often hilarious exploration of how AI development tools perform in messy real-world contexts.https://tessl.io/podcast/vibe-coding-adding-features
featuresThis episode centers on disposable code: code written quickly to test ideas rather than built for long-term maintenance. Simon and Joe dive headfirst into modifying auto-generated, brittle applications, trusting AI to carry out changes on unfamiliar projects. Simon remarks on the benefit of BASE44 in building a prototype with minimal effort, noting, “I didn’t even look at the code.” This hands-off approach highlights the power of disposable code—how AI tools can generate working apps quickly with minimal developer intervention. However, the moment these apps require real changes or sustained iteration, cracks appear. The ease of creation masks fragility under the surface.https://tessl.io/podcast/vibe-coding-adding-features
featuresThe episode underscores the tension between rapid generation and reliable maintenance. Simon encounters repeated issues using Cursor to modify Joe’s app, getting stuck in feedback loops where the tool claims to apply fixes that never take effect. “Every time I was in that horrible, frustrating loop… it says it’s made it, but it hasn’t.” Joe, using Windsurf, sees a similar breakdown: linting conflicts, duplicated functions, and unclear working state. Both developers conclude that while AI tools excel at early prototyping, extending that code demands precision, validation, and patience—things often absent in disposable workflows.https://tessl.io/podcast/vibe-coding-adding-features
featuresThe Importance of Context in AI Developmenthttps://tessl.io/podcast/vibe-coding-adding-features
featuresAI tools often struggle with contextual awareness, particularly when codebases are inconsistent or bloated. Windsurf, in particular, falls into multiple loops trying to fix ESLint issues it didn’t introduce, making repetitive and sometimes conflicting changes. Joe theorizes that Windsurf is analyzing its own diffs and erroneously flagging them as new bugs. Simon notes that context issues also affect output relevance: “It’s using that as context, so it would almost confuse itself a little bit with that potentially.” Without firm architectural boundaries and consistent naming conventions, AI tools lose track of intent, making reliable automation difficult.https://tessl.io/podcast/vibe-coding-adding-features

These are first-party product claims, not independent measurements of AI-search visibility.

14

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where youtube.com appears.1 first-page appearances across tessl

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

15

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
tessl.ioTessl Agent – Automate Code Reviews, Fix Recurring Errors, and Ship Workflows FasterGrounded web searchTessl Agent scans your PRs, session logs, and tickets continuously — opens improvement PRs automatically, turns recurring chores into workflows, and ships them via GitHub Actions. Your codebase gets better every week. Nobody has to stop to maintain it.
tessl.ioTessl Agent – Automate Code Reviews, Fix Recurring Errors, and Ship Workflows FasterGrounded web search# You're in. Now point Tessl Agent at your repo. Set up in one command. See your first improvement PR the same day. Tessl Agent scans your PRs, session logs and tickets, then opens fixes automatically.

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • tesslio/cli — # Tessl Tessl is an Agent Enablement Platform that gives your agents the context they're missing. - Install usage docs for your favorite open source library from the Tessl Spec Registry - Create your own internal docs and share with your team
  • Tessl - Agent Enablement Platform — is Tessl, exactly? Tessl is the agent enablement platform. It's the management layer between your developers and the agents they use, so you can build, test, distribute, and optimize agent skills with the security and governance of enterprise software.
  • What is Tessl? / Tessl Docs — Tessl is an open platform for managing agentic development across your organization. It takes you from scaling skills to building your software factory, one workflow at a time. Tessl works with every popular coding agent and is made up of six components: Component What it is Registry & package manager Discover, install, version, and roll back skills and plugins like any other dependency. One searchable index of public and private context, agent-agnostic. Governance Scan and score every skill aga
  • Tessl - Agent Enablement Platform — This is why we started Tessl. To help shape what AI Native software development looks like. To provide the tools to develop software in this context-centric world. To power the next step in the evolution of our profession.
  • Tessl • The management layer for AI agent skills — # Find skills that make AI agents work correctly. Skills are instructions that tell AI coding agents how to use your library, API, or workflow correctly. Evaluated, secured, versioned, and discoverable.
  • Set up Tessl / Tessl Docs — Tessl helps you manage the skills and context your coding agents rely on. You work with it through the `tessl` command line tool, so setup comes down to three things: install the CLI, create an account, and initialize a project. It takes a few minutes.
  • Security and Governance — Skills are installed with no visibility, execute with full trust, and a malicious or misconfigured skill won't announce itself. Tessl is the ... plane for agent skills. Every skill that enters your environment is scanned, scored, and governed, before it
  • FAQs / Tessl Docs — Skills are agent and model-agnostic, allowing teams to maintain consistent behavior across tools without locking into a single ecosystem. ... : `.codex/skills/` - AI model: `.AI model/skills/` - Copilot CLI: `.copilot/skills/` - Copilot in VSCode:

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

16

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipStanford University and CEO & Co-Founder of P10Ysource
Contact and supportNot published on the collected pages.—
Legal and privacyNot published on the collected pages.—
Security and complianceMultiple workspaces, unified billing, full role management, and SAML SSOsource
Uptime and status pageNot published on the collected pages.—

Not found on the collected pages: contact and support, legal and privacy, uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

17

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Contact and supportSupportPublic contact and support channel. (source)Not dated
AI Evaluations and Testing: How to Know When Your Product WorksGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
Kilo Code: An open source AI coding agent that works with any modelRoadmapPublic product roadmap. (source)Not dated

Not found in the collected public sources: changelog or release notes, status page, separate help center or knowledge base.

Technical

18

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Enterprise plan offers self-hosted deployment S72.S72
Platforms and appsNot published on the collected pages.—
API and extensibility (API, SDK, webhooks, MCP, plugins)Supports publishing and installing plugins and skills S72.S72
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsClaims 74% of findings are real defects, up from 50% S25.S25
Release activityNot published on the collected pages.—
19

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
First archived2024-04-22 — web archive
TLS certificateGoogle Trust Services, valid, expires 2027-01-17
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headercloudflare
Mail handled byaspmx.l.google.com, alt2.aspmx.l.google.com
Nameserversdemi.ns.cloudflare.com, tony.ns.cloudflare.com

Not measurable: rdap: no RDAP server published for .io; rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

20

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 89/100
  • Critical issues: 0
  • Warnings: 32
  • Notices: 4

Issues

SeverityIssueValueAffected URL
warningPage should have one primary H10https://tessl.io/get-in-touch
warningSlow HTML response2251https://tessl.io/get-in-touch
noticeMeta description length should be reviewed18https://tessl.io/careers
warningPage should have one primary H13https://tessl.io/careers
warningSlow HTML response2471https://tessl.io/careers
warningSlow HTML response2707https://tessl.io/pricing
warningMissing meta description—https://tessl.io/login?returnPathname=%2Fhome
warningPage should have one primary H10https://tessl.io/login?returnPathname=%2Fhome
warningMissing canonical URL—https://tessl.io/login?returnPathname=%2Fhome
noticeLow visible word count82https://tessl.io/login?returnPathname=%2Fhome
warningSlow HTML response2783https://tessl.io/code-review
warningTitle length should be reviewed84https://tessl.io/agent
noticeMeta description length should be reviewed316https://tessl.io/agent
warningMissing meta description—https://tessl.io/registry
warningMissing canonical URL—https://tessl.io/registry
warningPage should have one primary H13https://tessl.io/about
warningSlow HTML response2076https://tessl.io/about
warningTitle length should be reviewed5https://tessl.io/policies/all
noticeLow visible word count125https://tessl.io/policies/all
warningTitle length should be reviewed4https://tessl.io/blog
warningPage should have one primary H10https://tessl.io/blog
warningTitle length should be reviewed7https://tessl.io/podcast
warningPage should have one primary H10https://tessl.io/podcast
warningDuplicate title in audit sample3https://tessl.io/
warningDuplicate title in audit sample3https://tessl.io/
warningDuplicate title in audit sample3https://tessl.io/about
warningDuplicate title in audit sample2https://tessl.io/login?returnPathname=%2Fhome
warningDuplicate title in audit sample2https://tessl.io/registry
warningDuplicate meta description in audit sample8https://tessl.io/
warningDuplicate meta description in audit sample8https://tessl.io/get-in-touch
warningDuplicate meta description in audit sample8https://tessl.io/blog/context-driven-factories
warningDuplicate meta description in audit sample8https://tessl.io/code-review
warningDuplicate meta description in audit sample8https://tessl.io/
warningDuplicate meta description in audit sample8https://tessl.io/about
warningDuplicate meta description in audit sample8https://tessl.io/policies/all
warningDuplicate meta description in audit sample8https://tessl.io/policies/support

Crawled pages

StatusTitleH1sWordsResponseURL
200Tessl - Agent Enablement Platform11390242 mshttps://tessl.io/
200Get in touch02692,251 mshttps://tessl.io/get-in-touch
200Tessl Careers36612,471 mshttps://tessl.io/careers
200Tessl Pricing \Plans & Credits for AI Coding Agents111352,707 ms
200Tessl • The management layer for AI agent skills082379 mshttps://tessl.io/login?returnPathname=%2Fhome
200Context-Driven Factories125001,521 mshttps://tessl.io/blog/context-driven-factories
200Code Review120982,783 mshttps://tessl.io/code-review
200Tessl - Agent Enablement Platform11390154 mshttps://tessl.io/
200Tessl Agent – Automate Code Reviews, Fix Recurring Errors, and Ship Workflows Faster11032556 mshttps://tessl.io/agent
200Tessl • The management layer for AI agent skills1954582 mshttps://tessl.io/registry
200Tessl - Agent Enablement Platform35772,076 mshttps://tessl.io/about
200Legal1125481 mshttps://tessl.io/policies/all
200Enterprise Level Support Terms1524419 mshttps://tessl.io/policies/support
200Blog0840103 mshttps://tessl.io/blog
200Podcast074310681 mshttps://tessl.io/podcast

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

21

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct35.5%
search44.5%
search organic43.5%
search paid1.0%
social8.9%
social organic8.1%
social paid0.7%
referrals6.9%
paid referrals0.5%
mail2.1%
gen ai1.7%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

22

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not name direct competitors. Evidence gaps include lack of detailed customer reviews, independent review profiles, and specific uptime or performance metrics. Open questions remain about the exact credit consumption per action and the full scope of enterprise features beyond those listed on the pricing page.

23

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from tessl.io, including the homepage, about, pricing, agent get-started, blog, and podcast pages. Static and browser rendering rendering were used. External proof search was enabled but only performed a web search without verification requests. Limitations include reliance on vendor-published content and absence of independent reviews or third-party validation.

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