Borrowing it
Nothing to install: this file belongs to nathfavour/vibeauracle. 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/nathfavour/vibeauracle/master/.agent/skills/self-healing/SKILL.mdgit clone --depth 1 https://github.com/nathfavour/vibeauracleWrote 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/nathfavour/vibeauracle/self-healing)<a href="https://agentmods.dev/skills/nathfavour/vibeauracle/self-healing"><img src="https://agentmods.dev/badge/skills/nathfavour/vibeauracle/self-healing/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/nathfavour/vibeauracle/self-healing"><img src="https://agentmods.dev/badge/skills/nathfavour/vibeauracle/self-healing.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 | $0.00000 | $0.00236 |
| Opus 5 | $0.00000 | $0.00118 |
| Sonnet 5 | $0.00000 | $0.00047 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
self-healing 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
🩺 Skill: Agentic Self-Healing
This skill manages the "Doctor" system that automatically detects and resolves project issues.
🎯 Objective
Create a resilient engineering environment where the AI proactively fixes its own errors or system inconsistencies.
🛠️ Instructions
1. Issue Detection
- Monitor the
doctorchannel for signals from various modules (Brain, TUI, Tooling). - Implement specialized "Healers" in
internal/doctorfor common failure modes (e.g., build errors, git conflicts).
2. Recursive Correction
- When an execution fails (e.g.,
shell_execreturns non-zero), the Brain should invoke theself-healinglogic to analyze the error and generate a fix. - Ensure loop detection is active to prevent infinite retry-fail cycles.
3. Safety First
- Self-healing actions that involve significant filesystem changes or destructive commands MUST require user intervention/approval.
✅ Verification
- Test healers with simulated failures (see
internal/brain/self_healing.go). - Ensure the
doctorsuccessfully routes issues to the active agent runtime.
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 · 24 lines · 0 tokens per session scan A 0a84ac77f5d7
self-healing is a skill published in the GitHub repository nathfavour/vibeauracle (5 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 236 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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