Tracecat is an open-source security automation platform where teams and AI agents build agents, workflows, cases, tables, and integrations. Security teams use it to automate operational work, either through its managed service or by self-hosting. The catalogue entries provide skills, commands, instructions, and settings for working with Tracecat.
Borrowing it
Nothing to install: this file belongs to TracecatHQ/tracecat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TracecatHQ/tracecat/main/.agents/skills/tracecat-qa/SKILL.mdgit clone --depth 1 https://github.com/TracecatHQ/tracecatWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tracecathq/tracecat/tracecat-qa)<a href="https://agentmods.dev/skills/tracecathq/tracecat/tracecat-qa"><img src="https://agentmods.dev/badge/skills/tracecathq/tracecat/tracecat-qa/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tracecathq/tracecat/tracecat-qa"><img src="https://agentmods.dev/badge/skills/tracecathq/tracecat/tracecat-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 41 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.00909 |
| Opus 5.5 | $0.00033 | $0.00364 |
| Sonnet 5.5 | $0.00016 | $0.00182 |
| Haiku 4.5 | $0.00008 | $0.00091 |
Grade A, and why
tracecat-qa scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 60 lines · 82 tokens per session scan A efcc170a0434
tracecat-qa is a skill published in the GitHub repository TracecatHQ/tracecat (3,856 stars, last pushed today), licensed AGPL-3.0. It adds 82 tokens to every session and 909 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
verify
Build/launch/drive recipe for verifying apps/docs changes at runtime (demos, docs pages, llms.txt).
quality-engineering-playwright-pom-generation
Generates Playwright page objects from an executable test plan, one class per screen with ladder-compliant locators and no assertions, wired into a shared fixture. Use when a web scenario needs a page object that does not exist yet, or when locators drift and the page object must be rebuilt.
proxy-setup
Set up test-proxy-recorder for any Playwright project. Covers the proxy CLI (test-proxy-recorder --port --dir), package.json scripts for the three-service architecture (UI app → proxy → backend API), playwright.config.ts webServer block pointing to /control, per-test fixtures using playwrightProxy.before(page…
browser-inspection-workflow
Coordinate rendered behavior and state evidence.
cross-browser-qa
Verify browser-engine compatibility.
go
Opens the running app in a browser and verifies that recent UI changes actually work. Use for any quick smoke test of recent work — "go", "test in browser", "check in browser", "make sure it works", "verify it works", "did it work", "works on mobile" — including when the user appends "...and make sure it works" to a…