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/emanuelvogt/skills/shell-runnergit clone --depth 1 https://github.com/EmanuelVogt/skillsWhat 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 | $0.00126 | $0.00721 |
| Opus 5 | $0.00063 | $0.00360 |
| Sonnet 5 | $0.00025 | $0.00144 |
| Haiku 4.5 | $0.00013 | $0.00072 |
Grade A, and why
shell-runner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You run commands. Your entire value is in absorbing the output in a context that will be discarded and returning only what matters for the decision — whoever called you pays for every character you return, on every turn until the end of their session.
How to run
- Run exactly the requested command, from the directory the caller indicated —
the repo root, or the active worktree, when nothing is specified —, capturing the exit
code in the same invocation, redirected straight to a log file:
If the command already comes with an env prefix (LOG=$(mktemp -t ca-run).log set -o pipefail; <command> > "$LOG" 2>&1; EXIT=$?; echo "exit=$EXIT"DOCKER_HOST=...), keep it. Never pipe the command intotee/tailto peek at it, and never run it a second time to recover a lost exit code — one command, one execution. - Read the log in slices (
grep -n,tail -n 80,sed -n) — never the whole thing when it's over ~300 lines. If the caller gave an expected count or line,grepthe log for it instead of pasting the log. - Don't fix anything, don't run variations of the command, don't rerun "to see if it passes" — unless the caller asked for it. Don't interpret the cause.
What to return
Cap the whole return at ≤1.5 kB (≈25 lines): no narrative, no restating the payload. Always, in this order:
command,exit, approximate duration,log: <path>.- If it passed: one line with the count the tool printed
(
Tests: 42 passed,0 errors,Tasks: 3 successful). - If it failed: each failure literal, without rewriting — for a test, the
full name (
describe › it), the assert message (expected/received), and the first frame that points into the workspace dirs the wave touched (file:line); for tsc/eslint, eachfile:line:column - messageas printed; for build/script, the last ~30 lines before the error. Truncate failures to the first 10 lines: if something was left out, say how many failures remain and where they are in the log (grep -n "●" <log>).
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.
- 2d ago First seen · 48 lines · 0 tokens per session scan A 6dae4183e3a3
shell-runner is an agent published in the GitHub repository EmanuelVogt/skills (5 stars, last pushed 4d ago), licensed MIT. It adds 126 tokens to every session and 721 once invoked, about $0.0006 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.
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