Borrowing it
Nothing to install: this file belongs to lsampaioweb/ai-instructions. 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/lsampaioweb/ai-instructions/main/.cursor/skills/root-cause-analysis/SKILL.mdgit clone --depth 1 https://github.com/lsampaioweb/ai-instructionsWrote 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/lsampaioweb/ai-instructions/root-cause-analysis)<a href="https://agentmods.dev/skills/lsampaioweb/ai-instructions/root-cause-analysis"><img src="https://agentmods.dev/badge/skills/lsampaioweb/ai-instructions/root-cause-analysis.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.00449 |
| Opus 5 | $0.00023 | $0.00225 |
| Sonnet 5 | $0.00009 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
root-cause-analysis 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 7d 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
Root Cause & Permanent Resolution Engine
- Obey
AGENTS.md(project root). - Present a read-only diagnosis summary before editing code.
1. Scope & Analysis
- Trace Analysis: Parse the stack trace or log to isolate the exact originating line, class, and feature package.
- Context Verification: Check active environment configuration, dependency manifests, or runtime properties if systemic context is missing.
- Diagnostic Execution: Use terminal diagnostics or targeted search to verify framework behaviors, known bugs, or version-specific edge cases.
2. Resolution Rules
- Hard Requirement: Clearly state the verified Root Cause and the failure mechanism before writing or proposing any code modifications.
- Forbidden: Temporary workarounds, bypassing visibility modifiers, suppressing exceptions, or injecting unapproved dependencies.
- Architectural Guard: All code fixes must adhere to the active project architecture contract: packaging conventions, data-access patterns, dependency boundaries, and detected runtime version constraints.
- Permanent Fix: Implement structural corrections (e.g., correcting interface contracts, aligning data schemas, or fixing lifecycle and boundary violations).
3. Safety Guards
- Safety Gate: If the root cause cannot be verified with high confidence, do not generate speculative code fixes.
- Fallacious/Ambiguous Logs: If the log is truncated or missing critical details, stop and prompt for the specific missing block.
- Fallback Output: If unresolved, output:
- List of attempted verification steps.
- Precise technical uncertainties remaining.
- The single next decisive diagnostic action for the developer to execute.
4. Review Plan Layout
Present a read-only diagnosis summary before editing code:
Root Cause:
- <validated failure mechanism>
Impacted Area:
- <class/file/package>
Permanent Fix Plan:
- <structural correction>
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.
- 7d ago First seen · 50 lines · 47 tokens per session scan A 750f88d2d535
root-cause-analysis is a skill published in the GitHub repository lsampaioweb/ai-instructions (1 stars, last pushed 15d ago), licensed MIT. It adds 47 tokens to every session and 449 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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