Tessl
Tessl is the agent enablement platform for governing, testing, and optimizing AI agent skills.
Tessl is a strong fit for enterprises facing skill sprawl and security blind spots. It's early-stage, so integrations are limited, but the governance and eval-backed workflow deliver real value today. Its Snyk-powered scanning and policy gating are ahead of most DIY approaches, and the 3,000+ skill registry is a differentiator. However, credit-based pricing can get costly at scale, and the platform is overkill for small teams. Start with the free tier to test the credit model before committing.
Verified 8d ago · liveness 87/100 · cite: rightaichoice.com/tools/tessl
- Security leaders needing to govern the agent skill supply chain with scan, policy, and audit
- Platform teams scaling developer-led AI adoption without skill sprawl
- Engineering leadership proving ROI of agent skills via activation and eval data
- Enterprise teams requiring compliance and audit trails for AI agent actions
- Small teams using only one agent with a handful of skills—overkill
- Organizations without any governance or compliance requirements
- Teams building from scratch who prefer open-source tooling and custom scripting
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Skip Tessl if you're a small team with a single coding agent and a handful of skills, or if you have no governance or compliance requirements—the platform's overhead and credit costs outweigh the benefits.
Going past your monthly credits on the Team plan adds usage-based costs; you can set spending limits but heavy eval or agent-run usage will increase your bill
Tessl's credit-based pricing (Free: 1,000 credits/mo; Team: $100/mo for 5,000 credits) fits growing teams scaling agent adoption, but for heavy usage, per-credit costs can rival commercial agents like Cursor's seat pricing. Enterprises with large agent fleets may find custom volume pricing necessary, while smaller teams might be better off with simpler flat-rate tools.
In short
Tessl — Tessl is the agent enablement platform for governing, testing, and optimizing AI agent skills. Best for Security leaders needing to govern the agent skill supply chain with scan, policy, and audit, Platform teams scaling developer-led AI adoption without skill sprawl, Engineering leadership proving ROI of agent skills via activation and eval data. Free to start; paid plans from $100/mo.
What's new in Tessl
Checked 8 days agoAcross the latest 4 updates: 4 feature updates.
Workspace sidebar Activity item; Members moved to Settings
Tessl web app sidebar adds an Activity item (replacing Eval Runs and Reviews), moves Workspace Members to Settings, adds Resources section, and makes search an icon.
Experimental tasks API adds links.web field
Experimental tasks endpoints now return a links.web field with the task's URL in the web app.
Skill inventory findings API adds repoActivity field
The skill inventory findings API now includes a repoActivity field (active, quiet, or dormant) and allows filtering by it.
GitHub App integration settings split Manage and Remove actions
Connected GitHub App integrations now show separate Manage and Remove actions in integration settings.
Viability Score
How well maintained and how widely used is Tessl? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Security scanning with Snyk and policy gating before skill install
- Full skill inventory and audit logs
- Shared registry with 3,000+ searchable public skills
- Version management and rollback for skills
- Three-layer visibility: published, project coverage, activation
- Eval-backed improvement with before/after evidence
- Tessl Agent: autonomous monitor that automates reviews and fixes errors
- Docker Sandboxes for isolated agent runs
- MCP server support
- Activity timeline in web UI
- Skill inventory findings with repoActivity field in API
- Experimental tasks API with web links
- Integrates with Claude Code, Cursor, GitHub Copilot, Gemini
- Role-based access control with install and publish policies
- Mandate org-standard skills
About Tessl
Tessl is the agent enablement platform for teams that build, test, and govern AI agent skills. It sits between your developers and the coding agents they already use—Claude Code, Cursor, GitHub Copilot, Gemini—and turns chaotic skill sprawl into a governed, measurable system. Think of it as the control plane for your agent stack: every skill becomes versioned, reviewed, and security-scanned before it reaches a developer's machine. For security leaders, Tessl scans every skill before installation (Snyk-powered), maintains full inventory and audit logs, and enforces policies automatically. Platform teams get a shared registry with 3,000+ searchable public skills plus a private workspace, so good work is reused instead of duplicated. Engineering leadership gains three layers of visibility—published, project coverage, and real activation—to prove whether skills actually fire when agents work. Tessl goes beyond governance—it's built for continuous improvement. Run evals on default or frontier models with before/after evidence for every change. The Tessl Agent automates reviews, fixes recurring errors, and creates workflows within your first week. Docker Sandboxes give agents isolated environments to run safely. All usage—reviews, evals, agent runs—draws from one credit balance, with a free tier that includes 1,000 credits monthly. Where generic toolkits stop at building skills, Tessl owns the entire lifecycle—from creation to retirement—with enterprise-grade controls and audit trails. Recent additions include an experimental tasks API, a repoActivity field for inventory findings, and an updated web UI with an Activity timeline. It's the missing management layer for teams serious about scaling agent adoption without losing control.
Behind the Verdict
Tessl addresses a real and growing pain: AI coding agents like Claude Code, Cursor, and Copilot are being adopted rapidly, but the 'skills' or custom instructions they run on are often unmanaged, insecure, and duplicated. Tessl brings software engineering discipline to this layer—versioning, security scanning, policy gates, and evals—which is exactly what enterprises need to scale safely. Strengths: The security story is compelling. Every skill is scanned (Snyk-powered) and scored before install, with policy gating and audit logs. This is a must-have for any security leader worried about prompt injection or untrusted skill sources. The registry of 3,000+ public skills plus private workspace reduces duplication. The three-layer visibility (published vs. coverage vs. activation) gives engineering leaders the data to prove ROI. Evals with before/after evidence are like unit tests for skills—critical for continuous improvement without guessing. The Tessl Agent can automate reviews and fix recurring errors, saving real time. Weaknesses: The credit system is flexible but can become a cost concern with heavy eval and agent-run usage. The free tier (1,000 credits/month) may be limiting for active teams. Integrations are currently limited to the major coding agents (Claude Code, Cursor, GitHub Copilot, Gemini) and Git hosts (GitHub, GitLab); teams using niche agents won't find support. Tessl is still young—the docs mention open beta for the Tessl Agent, and the changelog shows frequent updates, implying some rough edges. Where it fits: Mid-size to large engineering orgs with multiple AI agents, a need for governance/compliance, and a willingness to invest in a centralized platform. Security-conscious enterprises (finance, healthcare) will find it particularly valuable. Where it doesn't fit: Small teams with one agent and few skills—the overhead isn't worth it. Organizations with no compliance requirements and those preferring open-source scripting tools may see it as overkill. Overall, Tessl is more than a wrapper—it's a platform with substantial proprietary technology (governance, evals, registry) that would be hard to replicate quickly. It's the kind of tool that becomes more valuable as your agent ecosystem grows.
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Real-world workflow fit
Concrete scenarios for the personas Tessl actually fits — and what changes day-one when you adopt it.
You need to ensure no unvetted skill runs in your dev environment.
Outcome: Install Tessl, enable Snyk scanning and policy gating, and get a full inventory of skills across your GitHub org within a day, with audit logs for compliance.
Your devs have created dozens of overlapping skills and you need to standardize.
Outcome: Use the registry to find existing public skills, publish your internal standards as a private skill, and set policies to mandate org-standard versions, reducing duplication in a week.
You need to prove the ROI of your AI agent investment to stakeholders.
Outcome: Set up evals for your top skills, track activation across dev machines, and report before/after agent output quality within a billing cycle, with concrete data.
Use Cases
- Install evaluated skills from the registry to improve agent accuracy with popular libraries like Terraform or ElevenLabs.
- Create private workspaces to distribute internal API documentation and coding conventions to your team's agents.
- Run scenario-based evaluations to measure whether a skill update improves or regresses agent performance.
- Enforce dependency pinning policies across all agent contexts in your organization to prevent breaking changes.
- Integrate skill linting and publishing into your CI/CD pipeline using GitHub Actions.
- Use Workspace Projects to manage context for a specific codebase and track version changes across branches.
Models Under the Hood
as of 2026-08-30
Limitations
- Tessl's pricing uses a credit system where one credit covers reviews, evals, and agent runs, so costs can scale with heavy usage.
- The Free tier includes 1,000 credits per month, while the Team plan offers 5x that amount and allows choosing your agent and model per task.
- Enterprise plan supports bring your own LLM and self-hosted deployment.
- Platform supports web, CLI, and API interactions.
as of 2026-08-30
Verification history
We have re-verified Tessl 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Tessl tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/month
Ideal for
Solo developers wanting to try Tessl and manage a few skills without any cost
What this tier adds
Free tier includes 1,000 credits monthly, access to Tessl agent, and unlimited skill publishing/installing—ideal for experimentation
Team
$100/month
Ideal for
Growing teams standardizing skill development and needing role management within a workspace
What this tier adds
5x credits (5,000/mo), ability to pick agent and model per task, and pay-as-you-go beyond credits
Enterprise
Custom
Ideal for
Large organizations rolling out agents across multiple teams with strict compliance and governance needs
What this tier adds
Adds install/publish policies, audit logs, multiple workspaces, SAML SSO, BYOK, self-hosting, and dedicated support
Where the pricing makes sense
The company stage and team size where Tessl's pricing actually pencils out — and where peers do it cheaper.
Tessl's credit-based pricing (Free: 1,000 credits/mo; Team: $100/mo for 5,000 credits) fits growing teams scaling agent adoption, but for heavy usage, per-credit costs can rival commercial agents like Cursor's seat pricing. Enterprises with large agent fleets may find custom volume pricing necessary, while smaller teams might be better off with simpler flat-rate tools.
Setup time & first value
How long it actually takes to get something useful out of Tessl — broken out by persona, not the marketing-page minute.
For a single developer, you can be up and running in under 15 minutes—install the CLI, create a skill, and run a review. Platform teams can set up the workspace, policies, and GitHub integration in a day. Enterprise rollouts with multiple workspaces and custom policies may take a week for full configuration.
Switching to or from Tessl
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual skill files: Import your existing skills into Tessl's registry to version, scan, and govern them centrally
- →From a simple tile-based setup: Tessl's docs provide a migration path from 'tiles' to plugins for smoother transition
- ↗To open-source tooling: Tessl exports skills as plain artifacts in your repo, so you can move to a custom solution without lock-in
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Tessl
Common stack mates teams adopt alongside Tessl, with the specific reason each pairing earns its keep.
Alternatives to Tessl
View all
Future AGI
Simulation-based AI agent testing that catches hallucinations before production
CopilotKit
React frontend stack for building agentic user experiences with generative UI
Poolside AI
Open-weight agentic coding models for secure on-prem enterprise AI
Frequently Asked Questions
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