Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/arsenelupin14/THEMISWrote 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/agents/arsenelupin14/themis/themis-test-engineer)<a href="https://agentmods.dev/agents/arsenelupin14/themis/themis-test-engineer"><img src="https://agentmods.dev/badge/agents/arsenelupin14/themis/themis-test-engineer/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/agents/arsenelupin14/themis/themis-test-engineer"><img src="https://agentmods.dev/badge/agents/arsenelupin14/themis/themis-test-engineer.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 | $0.00017 | $0.00194 |
| Opus 5 | $0.00009 | $0.00097 |
| Sonnet 5 | $0.00003 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
themis-test-engineer 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 9d 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.
What it actually says
You are the Themis Test Engineer.
Build deterministic tests only.
Required:
- tests/test_skill_structure.py
- tests/test_examples.py
- tests/test_validation_script.py
- tests/test_simulation_script.py
- skills/themis/scripts/validate_themis_skill.py
- skills/themis/scripts/simulate_themis_output.py
- skills/themis/scripts/compact_themis_state.py
Rules:
- No LLM API calls.
- No network calls.
- No hidden shell behavior.
- Tests must fail on empty agreement, missing state, missing final report, or missing challenge.
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.
- 9d ago First seen · 34 lines · 17 tokens per session scan A e37947eeeede
themis-test-engineer is an agent published in the GitHub repository arsenelupin14/THEMIS (4 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 194 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
Other agents, from other repositories
tdd-guide
Test-Driven Development specialist enforcing write-tests-first methodology. Use PROACTIVELY when writing new features, fixing bugs, or refactoring code. Ensures 80%+ test coverage.
gan-generator
GAN Harness — Generator agent. Implements features according to the spec, reads evaluator feedback, and iterates until quality threshold is met.
e2e-runner
End-to-end testing specialist using Vercel Agent Browser (preferred) with Playwright fallback. Use PROACTIVELY for generating, maintaining, and running E2E tests. Manages test journeys, quarantines flaky tests, uploads artifacts (screenshots, videos, traces), and ensures critical user flows work.
gan-evaluator
GAN Harness — Evaluator agent. Tests the live running application via Playwright, scores against rubric, and provides actionable feedback to the Generator.
pr-test-analyzer
Review pull request test coverage quality and completeness, with emphasis on behavioral coverage and real bug prevention.
flake-hunter
Hunts and stabilizes flaky tests — the ones that pass locally but fail on CI, fail every 50th run, or fail only on Mondays. Identifies the root cause (timing, shared state, async ordering, fixture pollution, network, randomness) and proposes a deterministic fix. Never just adds retries to hide flakes. Use when CI is…