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 skills add Tx1207/hello-scholar --skill crash-auditgit clone --depth 1 https://github.com/Tx1207/hello-scholarWrote 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/tx1207/hello-scholar/crash-audit)<a href="https://agentmods.dev/skills/tx1207/hello-scholar/crash-audit"><img src="https://agentmods.dev/badge/skills/tx1207/hello-scholar/crash-audit/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/tx1207/hello-scholar/crash-audit"><img src="https://agentmods.dev/badge/skills/tx1207/hello-scholar/crash-audit.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 | $0.00031 | $0.00227 |
| Opus 5 | $0.00015 | $0.00113 |
| Sonnet 5 | $0.00006 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
crash-audit 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 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.
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
Crash Audit
Use when checking uncertainty or blind spots is part of the current task; the user need not name this skill. Mentions of risk or audit language inside project files alone do not trigger it. Do not append an unsolicited audit to ordinary explanations or small implementation tasks.
Answer two questions from the current context:
- What is least certain in the current answer, plan, or decision?
- What important constraint, assumption, or consequence might the user be missing?
For each material item, state why confidence is limited or why the blind spot matters, the impact if wrong, and the fastest credible verification. Prefer one to three strong items per question and say when no meaningful item exists.
Keep the audit lightweight. Do not invent dramatic risks, repeat generic disclaimers, rewrite the plan, or drift into strategic expansion or implementation. Put verification beside the issue it tests; no fixed title set, score, matrix, or closing question is required.
What ships with it
2 files 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 · -113 lines · -77 tokens per session 96949e8faa27
- 9d ago First seen · 131 lines · 108 tokens per session scan A 111ae0d2d5e1
crash-audit is a skill published in the GitHub repository Tx1207/hello-scholar (6 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 227 once invoked, about $0.0002 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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