Borrowing it
Nothing to install: this file belongs to doidor/agentrig. 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/doidor/agentrig/main/.agents/skills/log-gotcha/SKILL.mdgit clone --depth 1 https://github.com/doidor/agentrigWrote 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/doidor/agentrig/log-gotcha)<a href="https://agentmods.dev/skills/doidor/agentrig/log-gotcha"><img src="https://agentmods.dev/badge/skills/doidor/agentrig/log-gotcha/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/doidor/agentrig/log-gotcha"><img src="https://agentmods.dev/badge/skills/doidor/agentrig/log-gotcha.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 | $0.00025 | $0.00280 |
| Opus 5.5 | $0.00010 | $0.00112 |
| Sonnet 5.5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
log-gotcha 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 29d 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
Log a gotcha
When a non-obvious behavior, failure, or instruction gap affects your work, use an existing wiki or knowledge base immediately. If none exists, report the observed behavior, supporting evidence, and prevention to the human; do not install a wiki just for this skill.
- If a knowledge base exists, search it for an existing entry. Improve that entry if it already covers the issue; do not add duplicate advice or style preferences.
- If a knowledge base exists and no entry covers the issue, create a short entry with the
observed symptom, actual cause, fix, and one-line prevention. Follow the repository's existing
format and index; in this repository, use
.agents/wiki/_TEMPLATE.mdand.agents/wiki/index.md. - If a rule or skill should have prevented the same failure, sharpen that instruction and check whether the new wording would have changed the original outcome.
- Verify a wiki entry is in your diff when there is a wiki; otherwise include the evidence in your handoff. Do not wait until after handoff to record or report the gotcha.
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.
- 29d ago Changed · -46 lines · -15 tokens per session ba6ff5dd2afe
- 2mo ago First seen · 69 lines · 40 tokens per session scan A de432c5255d8
log-gotcha is a skill published in the GitHub repository doidor/agentrig (5 stars, last pushed 28d ago), licensed MIT. It adds 25 tokens to every session and 280 once invoked, about $0.0001 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 2026-08-31.
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