Tessl
Agent enablement platform that versions, scans and evaluates the skills your coding agents run.
Tessl answers the question most teams can't: which agent skills are installed, who approved them, and whether they ever fire. Snyk-backed scanning plus activation visibility across a registry and project estate is a combination we haven't seen matched. It's clearly built for organisations running more than one coding agent — Cisco's context-quality pipeline is the proof point. The catch is metered: reviews, evals and agent runs share one credit balance, 1,000 credits/month on Free and 5,000 on Team at $100/month, and credits expire monthly on both. Frontier models burn that balance faster than efficient defaults, so set spending limits on day one.
Verified 13h ago · liveness 87/100 · cite: rightaichoice.com/tools/tessl
- Security leaders needing inventory, policy enforcement and audit trail for the agent skill supply chain
- Platform teams scaling a developer-led AI rollout across multiple coding agents
- Engineering leadership that wants activation and eval evidence for agent skills
- Enterprises with compliance needs: SAML SSO, multiple workspaces, self-hosted, EU data residency
- Small teams running one agent with a handful of skills, where governance costs more than it saves
- Organisations with no security or compliance requirements for agent tooling
- Teams that deliberately keep skills as unreviewed local files
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Skip Tessl if you're a solo developer or small team running a single coding agent with a handful of skills you're happy to keep as local files, since the registry, review and eval governance costs more than the sprawl it prevents.
Every Team account shares one credit balance across reviews, evals and agent runs, so a heavy eval week can quietly consume credits you budgeted for code review
Free at $0/mo with 1,000 credits is a genuine trial tier rather than a tease. Team at $100/mo with 5,000 credits is priced well under per-seat coding-agent subscriptions for a team of five to twenty. Enterprise is a platform fee plus credits on annual terms — reasonable against governance suites, but an order of magnitude above what a five-person startup needs.
In short
Tessl — Agent enablement platform that versions, scans and evaluates the skills your coding agents run. Best for Security leaders needing inventory, policy enforcement and audit trail for the agent skill supply chain, Platform teams scaling a developer-led AI rollout across multiple coding agents, Engineering leadership that wants activation and eval evidence for agent skills. Free to start; paid plans from $100/mo.
No head-to-head comparison for Tessl yet — the alternatives below are the closest matches we list.
What's new in Tessl
Checked todayAcross the latest 5 updates: 1 feature update, 2 changelog entries and 2 news mentions.
Add agentic code review to your repos in 5 minutes
Tessl's walkthrough for wiring Tessl Code Review into a repository so pull requests are evaluated against your team's written standards, billed as a 9-minute setup guide.
75% of Tessl's PRs now merge without human review
Tessl says its own engineering team merges three quarters of pull requests without human review using Tessl Code Review, citing lower review cost and better defect detection.
Verifiers: enforce your repo's rules on every agent change
Verifiers are JSON-based rules stored in the repo that enforce coding standards on every agent-driven code change, going beyond what linters can check.
Tessl web changelog: project setup status, per-environment Linear access
Project overview adds a setup card covering GitHub access, tessl.json, Loops and schedule health; workspace environments get scoped Linear access (none/read/write); Activity gains a Who filter and automation concurrency doubles to 100.
Incremental plugin publishing and archive/delete tools on the remote MCP server
Agents can now apply ordered put, edit and delete changes to an existing plugin version without re-uploading every file, and archive or permanently delete plugins from their coding environment.
What people actually say about Tessl — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
22 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy), 55 more we could not attribute · researched Oct 10, 2026.
Weighted by the 77 posts each of 4 sources contributed.
- +Evals run agents on real tasks with and without context, producing before/after evidence — the feature users call out most.
- +Skills-registry-and-package-manager framing resonates: versioning, rollback, and installs feel like npm for agent skills.
- +Works across Claude Code, Cursor, Codex, Antigravity, Copilot, and Gemini, so it fits real teams, not a single vendor.
- +Snyk-powered security scoring plus RBAC and audit trail appeals to security-conscious platform teams.
- +Users describe it as easy to use with strong UX, despite the depth of features.
- −HN reaction has cooled: the spec-driven-development wave that included Tessl feels past its hype peak.
- −Several prominent HN threads are founder-authored, which makes independent validation of benchmark claims difficult.
- −Aimed at org-scale problems — solo devs and small teams get little value from governance/observability.
- −Credit model is opaque: evals, reviews, and agent runs all draw from one balance, hard to forecast.
- −Public discussion volume is thin outside Product Hunt; Reddit, GitHub, and Stack Overflow returned no usable data.
- • Credits are a shared pool across reviews, evals, and Tessl agent runs — heavy eval activity drains quota unexpectedly
- • Enterprise-only features (BYO-LLM, SSO, self-hosting) effectively force the highest tier for security-conscious buyers
- • No public data on per-eval or per-agent-run credit consumption, so budgeting is guesswork
- • Data/context ingestion (SCM connectors, repo mapping) may add indirect cost in engineering time before value appears
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: October 2026
How we score →Key Features
- Registry and package manager for skills and plugins with versioning and rollback
- Snyk-backed security scanning and scoring before a skill installs
- STRIDE and OWASP-style checks on every PR plus scheduled full-repo audits
- Checks run against your own encoded company standards, not a fixed vendor policy
- Install and publish policies with mandatory org-standard skills
- RBAC for creating, publishing and viewing skills, backed by audit logs
- Evals that run your agent on real tasks with and without context
- Observability showing where skills activate across sessions, not just where installed
- Context and Findings mapping drift, overlap and unmanaged copies across repositories
- JSON-based Verifiers enforcing repo rules on every agent code change
- Automated code review loop driven by your written review standard
- Loops with a plain-English schedule builder, timezone and cron escape hatch
- Model and agent-harness evaluation benchmarked on your own tasks
- Agent cost benchmarking in turns and tokens, not just rate card
- Remote MCP server with incremental plugin publishing, archive_plugin and delete_plugin
About Tessl
Tessl is an agent enablement platform that sits between your developers and whichever coding agents they use — Claude Code, Cursor, Codex, GitHub Copilot, Antigravity, or several at once. Instead of skill files living as unreviewed local text, Tessl treats them as managed dependencies: discovered in a registry, versioned and rolled back, scanned against best practices and your own standards, evaluated before anyone installs them, and observed once they're live. The platform is organised in three layers. Skills are your written standards — a review policy, a security checklist, a coding convention — authored once. Loops put those skills to work on a schedule: automated code review, STRIDE and OWASP-style security scanning on every PR plus full-repo audits, documentation maintenance, test-and-fix, incident post-mortem, and agent cost benchmarking. A factory is what you get when several loops run together. A conversational Tessl Agent (open beta) drives the platform and monitors your setup alongside your existing agents. The differentiators are governance and evidence. Snyk security scoring is built in, every skill is scanned and scored before installation, and you can encode your own standards once so checks run against them rather than a vendor's fixed policy. Observability shows where skills actually activate versus where they were merely installed, and evals run your agent on real tasks with and without the context to produce before/after evidence. Cisco is a named reference customer, with tens of thousands of engineers using AI tools daily.
Behind the Verdict
Tessl is aiming at a real problem that appeared fast: skill files went from nothing to hundreds of drifting, duplicated text files across repos, each one running with a developer's level of access. The vendor's own framing — zero to hundreds of duplicates in two weeks — matches what most platform teams report. The product's strongest card is the registry-plus-scanner combination. Skills and plugins are discovered in one searchable index (public registry plus your private workspace), installed like a dependency, versioned, rolled back, and scored with Snyk security scoring before install. Reviews that would otherwise be a guess become scored and evidenced. Crucially, your own standards can be encoded as a skill, so checks run against your policy rather than a vendor's settings page — that is the difference between a lint service and a governance layer. Second is the evidence loop. Observability distinguishes installed from actually activated, and evals run your agent on real tasks with and without the context. Tessl's own numbers on this are specific: 94% task success up from 67% on Fastify for skill optimization, and 74% of review findings being real defects versus 50% previously. Treat vendor benchmarks with normal caution, but the mechanism — before/after eval on every change — is the thing to test yourself. Third is the operational surface: JSON-based Verifiers that enforce repo rules on every code change beyond what linters catch, Loops with a plain-English schedule builder plus cron escape hatch, GitHub Actions integration for review, lint and publish in CI, and a remote MCP server with incremental plugin publishing plus archive_plugin and delete_plugin. Per-environment Linear access (none/read/write) shows the governance thinking extends to integrations. Weaknesses are mostly about maturity and fit. The Tessl Agent is in open beta. Organisation-level Context and Findings views only become useful once multiple workspaces feed them, so a single-workspace account sees little. And the credit model asks you to predict usage across three different metered actions before you have the data to do it — a familiar problem with usage-based tools, and one that spending limits only partly solve. Where it fits: platform teams and security leads at companies running Claude Code, Cursor, Codex or Copilot side by side and needing one policy layer, audit trail and inventory. Where it doesn't: a small team with one agent and a handful of skills, where the review-and-eval overhead costs more than the sprawl it prevents.
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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.
Connect GitHub and GitLab, publish internal API conventions as a private plugin, mandate it org-wide on Enterprise, and run Tessl Code Review plus Verifiers on every PR against your written review standard.
Outcome: Every developer's Claude Code or Cursor session reads the same reviewed convention instead of a stale local copy, and PR review findings drop from mostly noise to mostly real defects.
Install only Snyk-scored skills above your threshold, schedule a weekly full-repo audit Loop, and switch on audit logs to track who published what.
Outcome: You can answer 'which skills are installed, who approved them and did they pass our standard' with a record rather than a spreadsheet.
Benchmark model and agent-harness combinations against your own tasks, then use agent cost benchmarking to see what a task costs in turns and tokens.
Outcome: You route routine work to the cheapest model that holds quality and keep the expensive one for what needs it, with before/after eval evidence instead of vibes.
Use Cases
- Install evaluated skills from the registry so agents handle libraries like Terraform or Fastify correctly instead of guessing.
- Publish internal API docs and coding conventions into a private workspace so every developer's agent reads the same source of truth.
- Run scenario-based evals to prove a skill update improves agent output instead of silently regressing it.
- Enforce dependency pinning and mandated skills across every agent context in the organisation.
- Wire skill linting and publishing into CI with GitHub Actions or Verifiers that run on every change.
- Map skills and configuration across repos by connecting SCM accounts, then inspect drift and overlap at org level.
- Schedule recurring Loops so docs, READMEs and API references stay in sync with what the code actually does.
- Benchmark model and agent-harness combinations against your own tasks and see what a task costs in turns and tokens.
Models Under the Hood
as of 2026-10-16
Limitations
- Pricing is credit-based and one balance covers reviews, evals and agent runs.
- Free includes 1,000 credits/month and Team $100/month includes 5,000; every Team action draws on the same balance, and buying more is a top-up decision you make mid-project.
- Frontier model selection is available from Team up and costs more credits than the efficient defaults Free is limited to.
- Free and Team credits expire monthly, so unused balance doesn't roll over; annual commitment only appears at the Business/Enterprise level.
- Governance controls — install and publish policies, mandatory skills, audit logs, multiple workspaces with unified billing, SAML SSO — start at Enterprise, and BYOK and EU data residency are on request rather than self-serve.
- The Tessl Agent is in open beta.
- Org-level Context and Findings views need multiple contributing workspaces before they show much.
as of 2026-10-22
Verification history
We have re-verified Tessl 20 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 20 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/mo
Ideal for
An individual developer or small team trialling Tessl on one codebase before committing to a standardised setup.
What this tier adds
Starting tier: 1,000 credits/month, unlimited plugin and skill publishing, reviews free on publicly published plugins, single workspace and default models only.
Team
$100/mo
Ideal for
A team standardising how it writes and reviews skills across a handful of repositories, with budget control.
What this tier adds
5x the credits at 5,000/month, per-task agent and model choice including frontier models, role management, and self-set spending limits with credit top-ups.
Enterprise
Custom
Ideal for
An organisation rolling agents out across many teams that needs enforced standards, audit and compliance controls.
What this tier adds
Platform fee plus credits on annual terms, adding install and publish policies, mandatory skills, audit logs, multiple workspaces with unified billing, SAML SSO, BYOK, single-tenant or self-hosted deployment 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.
Free at $0/mo with 1,000 credits is a genuine trial tier rather than a tease. Team at $100/mo with 5,000 credits is priced well under per-seat coding-agent subscriptions for a team of five to twenty. Enterprise is a platform fee plus credits on annual terms — reasonable against governance suites, but an order of magnitude above what a five-person startup needs.
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.
Free or Team: install the CLI, initialise Tessl in a project and improve your first skill in an afternoon; Tessl's own code review guide claims a 5-minute repo setup. Enterprise with multiple workspaces, SSO and policy rollout is a guided implementation with an onboarding engineer rather than a self-serve afternoon.
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 ad-hoc local skill files: initialise Tessl in the repo, publish existing SKILL.md files to a private workspace, then let review and evals score them before mandating anything.
- →From manual dependency pins in agent configs: move the pins into tessl.json and manage them through the registry with versioning and rollback.
- →From per-agent built-in memory: extract the team conventions into skills so the same context follows developers across Claude Code, Cursor and Codex.
- ↗To plain repo artifacts: Tessl writes skills, rules and config as plain artifacts in your repo, so you keep working files if you leave the platform.
- ↗To another registry: because skills and plugins are agent-agnostic plain artifacts, exporting the plugin set and re-pointing agents is a config change rather than a rewrite.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Tessl”, and we withheld 6: 6 could not be judged, because “Tessl” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Tessl.
Official links
Tools that pair well with Tessl
Common stack mates teams adopt alongside Tessl, with the specific reason each pairing earns its keep.
Endor Labs
Agentic application security that governs AI coding agents and verifies reachable vulnerabilities before code ships
Poolside AI
Poolside builds open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — for code that stays inside your security
Zhipu GLM
Zhipu GLM is a full-stack large-model platform built on open GLM weights, with MaaS APIs, ZCode and shipped computer-use agents.
Alternatives to Tessl
View all
Endor Labs
Agentic application security that governs AI coding agents and verifies reachable vulnerabilities before code ships
Poolside AI
Poolside builds open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — for code that stays inside your security
Frequently Asked Questions
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