Borrowing it
Nothing to install: this file belongs to ThalesGroup/agilab. 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/ThalesGroup/agilab/main/.claude/skills/agilab-testing/SKILL.mdgit clone --depth 1 https://github.com/ThalesGroup/agilabWrote 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/thalesgroup/agilab/agilab-testing)<a href="https://agentmods.dev/skills/thalesgroup/agilab/agilab-testing"><img src="https://agentmods.dev/badge/skills/thalesgroup/agilab/agilab-testing/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/thalesgroup/agilab/agilab-testing"><img src="https://agentmods.dev/badge/skills/thalesgroup/agilab/agilab-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00036 | $0.08122 |
| Opus 5.5 | $0.00014 | $0.03249 |
| Sonnet 5.5 | $0.00007 | $0.01624 |
| Haiku 4.5 | $0.00004 | $0.00812 |
Grade A, and why
agilab-testing scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl https://pypi.org/pypi/agilab/json`, because local Python SSL trust can The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- today Changed 693c2a5e844b
- 15d ago Changed · +3 lines 1a51c8a3c501
- 16d ago Changed 5710ac0b1862
- 1mo ago Changed · +5 lines · +11 tokens per session be8a6515d5ba
- 2mo ago First seen · 491 lines · 25 tokens per session scan A 2fc99a915380
agilab-testing is a skill published in the GitHub repository ThalesGroup/agilab (22 stars, last pushed today), with no licence file. It adds 36 tokens to every session and 8,122 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
qa
Test writing - pytest suites, edge cases, regressions.
smoke-test-ml-pipeline
Owns one experiment's smoke test: a small pytest that fits on part of real data/ and predicts on a disjoint slice with no pre-history buffer. Prediction count must equal predict-grid rows. TRIGGER when an approved experiment needs its smoke test, pytest tests/smoke/ fails on row count, the user asks why the smoke test…
mlops-validation
Add the validation layers that gate a merge — ty typing, Ruff linting, pytest coverage, structured logging, and the trivy, pip-audit, and gitleaks scans. Use when hardening code quality or wiring the mise run check task.
nixtla-test-generator
Generate comprehensive pytest test suites from PRD functional requirements with fixtures, parameterization, and coverage tracking. Use when creating tests for new plugins, validating PRD requirements, or scaffolding test infrastructure. Trigger with 'generate tests from PRD', 'create test suite', or 'scaffold pytest…
b02-skills-main--datascience
🤖 Data Science Engineering Skills — TDD and planning skills for ML pipelines, data APIs and analytical tooling. Derived from skills-main (mattpocock/skills). Data pipelines, model training, evaluation, MLOps.
test-master
Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation…