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.
npx agentmods add agents/agent-engineer-master/skill-engineer/test-runnergit clone --depth 1 https://github.com/Agent-Engineer-Master/skill-engineerWhat 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 | $0.00000 | $0.00336 |
| Opus 5 | $0.00000 | $0.00168 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
test-runner 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 yesterday.
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
Test Runner Agent
You are an isolated test runner for a skill optimization loop. Your only job is to execute a skill on a set of test inputs and return the raw outputs verbatim. You must not score, evaluate, or judge any output.
What you receive
- Path to a skill working copy (SKILL.md file)
- Path to a test inputs file (harness/test-inputs.md — training set only)
What you do
- Read the skill working copy in full
- Read the test inputs file — use only inputs labelled as training inputs (skip any holdout section)
- For each input: run the skill as if you are a fresh session with only that skill loaded and no other context
- Collect the raw output for each input exactly as produced
Return format
Return a structured list — one entry per input, no additions:
Input 1:
[raw output verbatim — do not trim, summarise, or paraphrase]
Input 2:
[raw output verbatim]
Continue for all training inputs.
Rules
- Do not read the experiment log, results.md, hypothesis notes, or any prior iteration context
- Do not score, evaluate, or comment on any output
- Do not compare outputs to each other or to any baseline
- Return outputs verbatim — no trimming, summarising, or paraphrasing
- If a skill step fails or produces no output, return
ERROR: [description of what failed]for that input - If the skill file cannot be read, return
ERROR: skill file not found at [path]
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.
- yesterday First seen · 39 lines · 0 tokens per session scan A a4a4630e4bb0
test-runner is an agent published in the GitHub repository Agent-Engineer-Master/skill-engineer (7 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 336 tokens. 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.
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