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 agentmods add rules/steipete/agent-rules/fivegit clone --depth 1 https://github.com/steipete/agent-rulesWhat 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 | $0.00321 | $0.00321 |
| Opus 5 | $0.00161 | $0.00161 |
| Sonnet 5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
five 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- five — 100% identical, 0 lines differ
What it actually says
Five Whys Analysis
Use the "Five Whys" root cause analysis technique to deeply understand problems.
Process:
1. Define the Problem
Clearly state the issue or symptom
2. Ask "Why?" Five Times
- Why did this problem occur? → Answer 1
- Why did Answer 1 happen? → Answer 2
- Why did Answer 2 happen? → Answer 3
- Why did Answer 3 happen? → Answer 4
- Why did Answer 4 happen? → Answer 5 (Root Cause)
3. Validate Root Cause
- Verify the logical chain
- Check if addressing root cause prevents recurrence
- Consider multiple root causes if applicable
4. Develop Solutions
- Address the root cause, not just symptoms
- Create preventive measures
- Consider systemic improvements
Example:
Problem: Application crashes when processing large files
- Why? → The application runs out of memory
- Why? → It loads entire file into memory at once
- Why? → The file parser wasn't designed for streaming
- Why? → Initial requirements only specified small files
- Why? → Requirements gathering didn't consider future growth
Root Cause: Incomplete requirements gathering process Solution: Implement streaming parser and improve requirements process
Best Practices:
- Focus on process, not people
- Look for systemic issues
- Document the analysis
- Involve relevant stakeholders
- Test solutions address root cause
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.
- 2d ago First seen · 44 lines · 321 tokens per session scan A c939af677fa1
five is a cursor rule published in the GitHub repository steipete/agent-rules (5,696 stars, last pushed 4mo ago), licensed MIT. It adds 321 tokens to every session, about $0.0016 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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