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 event4u-app/agent-config --skill learning-to-rule-or-skillgit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/learning-to-rule-or-skill)<a href="https://agentmods.dev/skills/event4u-app/agent-config/learning-to-rule-or-skill"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/learning-to-rule-or-skill/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/event4u-app/agent-config/learning-to-rule-or-skill"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/learning-to-rule-or-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 73 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00042 | $0.03857 |
| Opus 5 | $0.00021 | $0.01929 |
| Sonnet 5 | $0.00008 | $0.00771 |
| Haiku 4.5 | $0.00004 | $0.00386 |
Grade A, and why
learning-to-rule-or-skill 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.
How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
learning-to-rule-or-skill
When to use
Use this skill when:
- A repeated mistake appears across multiple tasks
- A successful pattern should be reused in the future
- A new constraint or workflow should be captured permanently
- Reviewing post-task learnings or retrospectives
- Deciding whether a learning belongs in a rule or a skill
- After completing a task — reflecting on what worked or caused friction
- Mining the audit log (
agents/runtime/state/audit/<YYYY-MM>.jsonl,audit-log-v1) surfaced a repeated phase pattern viaextract_audit_patterns.ts— the pattern'scount≥ 2 already satisfies the repetition gate - A comparative analysis handed over a
### SEED —block from its## Seedssection (/analyze:repo§ 6). This is an accepted intake shape: the block already carries the proposed name, kind, target template, one-line description, and theExtends instead?answer, so step 4's overlap search starts from a stated candidate rather than a blank page — it does not skip that search, and a seed whoseExtends instead?line is missing is incomplete intake, not a shortcut. The repetition gate is satisfied differently here: the evidence is the anchored ADOPT/ADAPT verdict behind the seed rather than a recurrence count — a mechanism confirmed once against a named own-repo defect is not the one-off case the gate exists to filter.
Do not use this skill when:
- The learning is one-off and unlikely to repeat
- The issue is too vague to turn into guidance
- The content already exists in an equivalent rule or skill
Goal
- Turn repeated learnings into reusable project guidance
- Decide correctly between rule, skill, or update to an existing one
- Prevent the same mistakes from happening again
- Keep the system small, clear, and non-duplicative
Preconditions
- A concrete learning, mistake, or successful pattern exists
- The learning can be stated clearly in one or two sentences
- Existing rules and skills can be checked for overlap
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 Changed e515d216e86c
- 4d ago Changed 14304cf4adf9
- 8d ago First seen · 399 lines · 42 tokens per session scan A cebd25b197f9
learning-to-rule-or-skill is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 3,857 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 2026-09-04.
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