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 cacheplane/dawnai --skill recover-from-failuregit clone --depth 1 https://github.com/cacheplane/dawnaiWrote 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/cacheplane/dawnai/recover-from-failure)<a href="https://agentmods.dev/skills/cacheplane/dawnai/recover-from-failure"><img src="https://agentmods.dev/badge/skills/cacheplane/dawnai/recover-from-failure.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.00233 |
| Opus 5 | $0.00008 | $0.00117 |
| Sonnet 5 | $0.00003 | $0.00047 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
recover-from-failure 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 8d 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
Recover from a failed tool call
When a tool call returns an error:
- Read the error message first. Most Dawn tool errors are self-explanatory: path-jail violations, file-too-large, command exit codes.
- Don't retry the exact same call. If
readFile({ path: "missing.txt" })returned "ENOENT", calling it again won't help. Either list the directory to find the right name, or usewriteFileto create the file. - Check
AGENTS.mdfor known conventions before improvising. The memory file often documents the right approach the previous session figured out. - If three different approaches fail in a row, stop and ask the user. Don't keep flailing — explain what you tried and what went wrong.
- Record what worked in
AGENTS.md(viawriteFile) when you find a fix that wasn't already documented. Future-you will thank you.
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.
- 8d ago First seen · 20 lines · 15 tokens per session scan A 29811c4eb84f
recover-from-failure is a skill published in the GitHub repository cacheplane/dawnai (327 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 233 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 2026-08-30.
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