Tessl
Enterprise control plane for the full agent skill lifecycle.
Tessl fills a genuine gap in governing agent skills at scale. If your enterprise faces skill sprawl, duplicate skills, and security blind spots, this is worth a pilot. However, it's still early-stage with a limited integration list and rough edges—best suited for compliance-heavy organizations today.
Verified 8d ago · liveness 95/100 · 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 manage only a handful of skills with one agent and have no compliance or governance requirements.
Going over your monthly credit allowance on Team requires buying credit bundles, which adds $0.02 per credit beyond the allowance.
Tessl's freemium model suits small teams exploring agent skills at $0/mo, but the Team tier at $100/mo with 5,000 credits is best for growing teams that need model choice. Enterprise pricing is custom—more expensive than pure open-source tooling but cheaper than building internal governance from scratch.
In short
Tessl — Enterprise control plane for the full agent skill lifecycle. 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 17 days agoAcross the latest 6 updates: 3 feature updates, 1 launch and 2 pricing changes.
Tessl Academy is live (in preview)
Tessl Academy launches in preview with two courses on building, evaluating, and running agent skills.
Your agents keep making the same mistakes. Nobody has time to fix it.
Tessl Agent automates error detection and task optimization to improve coding agent efficiency.
Team plan billing and credit bundles
Organisations can subscribe to Team plan, manage billing, and buy credit bundles via hosted checkout.
The new Tessl review: now you decide what 'good' looks like
New review feature lets users define custom quality criteria, offers agent-based accuracy, and history.
Breaking: review runs with custom reviewer/model now require paid plan
Custom reviewer or model overrides on review/fix runs now require a paid entitlement; free orgs use defaults.
Git source allowlist for install policies
Org install policies now support git source allowlists; blocking unlisted git hosts/repos at eval time.
Viability Score
How likely is Tessl to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Security scanning and policy gating before skill installation
- Full skill inventory with audit logs
- Version management and contribution governance
- Three-layer visibility: published, project coverage, activation
- Eval-backed continuous improvement
- Shared searchable skill registry (3,000+ public skills)
- Automated org-standard skill enforcement
- Install policies and access controls
- Integration with Claude Code, Cursor, Copilot, Gemini
- Private workspace for custom skills
- Security review required before version access
- Moderation states for tile versions
- Critical-severity security threshold enforcement on public tiles
- Claude Opus 4.8 model support for eval runs
- Credit-based usage with single balance for reviews, evals, agent runs
About Tessl
Tessl is an agent enablement platform that provides enterprise teams with a management layer for continuously building, testing, distributing, and optimizing agent skills under security and governance. It targets security leaders, platform teams, and engineering leadership who need to tame messy skill sprawl into a governed, measurable system. Key capabilities include security scanning and policy gating before skill installation, a shared searchable registry with version control (3,000+ public skills), and three-layer visibility into skill performance: published, project coverage, and real activation. The platform integrates with major agents like Claude Code, Cursor, GitHub Copilot, and Gemini, and offers eval-backed continuous improvement. Recent additions include Tessl Academy (a preview curriculum for skill building), custom review criteria, git source allowlists for install policies, and credit-based usage with a single balance for reviews, evals, and agent runs. Unlike generic agent toolkits, Tessl focuses specifically on the skill lifecycle—from creation to retirement—with enterprise-grade controls and audit trails.
Behind the Verdict
Tessl addresses a real and growing pain point: the chaotic proliferation of AI agent skills in enterprise environments. As teams experiment with coding agents, they quickly accumulate hundreds of skills with no tracking, versioning, or security oversight. Tessl provides a structured control plane to bring order to that chaos. We'd reach for this when you have multiple teams using multiple agents (Claude Code, Cursor, Copilot, Gemini) and need to enforce security policies, avoid duplication, and prove ROI through activation data. The three-layer visibility—published, project coverage, real activation—is genuinely useful for identifying skills that exist but never fire. Where it bites: integrations are currently limited to the listed agents. If your org uses niche or custom agents, Tessl likely won't work out of the box. The platform is also relatively new; expect rough edges and a smaller community compared to open-source alternatives like LangChain's hub. Compared to building your own skill registry with Git and custom scripts, Tessl offers a more turnkey, enterprise-grade solution with built-in security scanning, policy enforcement, and eval workflows. But it comes at a cost, especially at scale, since usage is credit-based. For small teams with a single agent and a handful of skills, it's overkill. Best for compliance-heavy orgs that need audit trails and can absorb the learning curve.
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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 block any skill with critical-severity security vulnerabilities from being installed in your org.
Outcome: Configure an install policy with a critical-severity security threshold; Tessl blocks installation of non-compliant skills and logs the attempt.
Your team has dozens of duplicate skills for the same API, versioned inconsistently across projects.
Outcome: Publish a canonical skill to your private workspace, mandate it via org policy, and deprecate duplicates—reducing maintenance overhead.
Leadership asks whether the team's agent skills are actually improving developer productivity.
Outcome: Use the three-layer visibility dashboard to show adoption, activation, and eval scores; prove ROI with before/after comparisons per skill.
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.
- Promote or claim a skill you created to signal official support and increase trust in its quality.
- Use Workspace Projects to manage context for a specific codebase and track version changes across branches.
Models Under the Hood
as of 2026-07-06
Limitations
- Only Claude Opus 4.8 is explicitly listed for eval runs.
- Other models may be supported but not confirmed.
- Free plan restricts to default models and credit usage; paid plans required for custom model overrides.
- No mobile or desktop clients beyond CLI are mentioned.
as of 2026-06-30
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/mo
Ideal for
Individual developer evaluating Tessl or running small experiments with skills and evals.
What this tier adds
Free tier entry point with 1,000 credits/month, default models only, single workspace, and OAuth sign-in.
Team
$100/mo
Ideal for
Standardizing skill development within a team that needs model choice and role management.
What this tier adds
5x credits (5,000/mo), ability to pick agent and model per task, role management, and spending limits.
Enterprise
Custom
Ideal for
Large organizations rolling out agent skills across multiple teams with strict governance, SSO, and dedicated support.
What this tier adds
Custom pricing with volume discounts, install/publish policies, mandatory skills, multiple workspaces, SAML SSO, BYOK, EU data residency, and SLAs.
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 freemium model suits small teams exploring agent skills at $0/mo, but the Team tier at $100/mo with 5,000 credits is best for growing teams that need model choice. Enterprise pricing is custom—more expensive than pure open-source tooling but cheaper than building internal governance from scratch.
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 an individual developer: sign up and install the CLI in under 5 minutes; publish a first skill in 15 minutes. For a team: configure a workspace and install policies in about an hour. Enterprise onboarding with SSO and custom policies takes a few days with implementation engineer support.
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 internal scripts: Migrate your homegrown skill management by publishing existing skills to Tessl's registry and adopting its versioning and scanning workflows.
- →From no system: Start by scanning your GitHub repos with Skill Inventory to discover existing skills, then adopt Tessl for governance gradually.
- ↗To open-source tooling: Export skills from Tessl as plain markdown or YAML files, since skills are stored as plain artifacts in your repo with no proprietary format.
- ↗To a custom platform: Use Tessl's API to export skill metadata, version history, and eval results; skills themselves are standard artifacts you can host elsewhere.
Integrations
Resources & Guides
Official links
Tools that pair well with Tessl
Common stack mates teams adopt alongside Tessl, with the specific reason each pairing earns its keep.
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Frequently Asked Questions
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