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 commands/naimkatiman/continuous-improvement/seven-lawsgit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/commands/naimkatiman/continuous-improvement/seven-laws)<a href="https://agentmods.dev/commands/naimkatiman/continuous-improvement/seven-laws"><img src="https://agentmods.dev/badge/commands/naimkatiman/continuous-improvement/seven-laws.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 | $0.00038 | $0.00203 |
| Opus 5 | $0.00019 | $0.00102 |
| Sonnet 5 | $0.00008 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00020 |
Grade A, and why
seven-laws 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 6d 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
/seven-laws
Brand-aligned alias for /continuous-improvement. Both commands run the exact same three-step workflow under the 7 Laws of AI Agent Discipline:
- Reflect (Law 5) — generate a reflection block for this session.
- Analyze (Law 7) — process pending observations into instincts.
- Status — show all instincts for the project + global with confidence and current level.
Run the workflow defined in continuous-improvement.md. Subcommands weekly and always-on work identically.
/continuous-improvement remains supported indefinitely for backward compatibility. Prefer /seven-laws going forward — it matches the brand and the SKILL.md spec.
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.
- 6d ago First seen · 17 lines · 38 tokens per session scan A 0e3e37827f6a
seven-laws is a command published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 11d ago), licensed MIT. It adds 38 tokens to every session and 203 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.
Other commands, from other repositories
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ralph-build
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ralph-onboard
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