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 ljucask/pureinn-product-development --skill pm-business-rule-governancegit clone --depth 1 https://github.com/ljucask/pureinn-product-developmentWrote 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/ljucask/pureinn-product-development/pm-business-rule-governance)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-business-rule-governance"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-business-rule-governance/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/ljucask/pureinn-product-development/pm-business-rule-governance"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-business-rule-governance.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 | $0.00069 | $0.01878 |
| Opus 5 | $0.00034 | $0.00939 |
| Sonnet 5 | $0.00014 | $0.00376 |
| Haiku 4.5 | $0.00007 | $0.00188 |
Grade A, and why
pm-business-rule-governance 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 12d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Business Rule: Compliance / Policy Rule (JIT Helper)
Agent mode (--agent)
Supports --agent: runs autonomously in a subagent, drafts the artifact from existing inputs, and returns a short summary + coverage note.
- No flag → interactive (default); if inputs are heavy, offer agent mode.
--agent→ obey. First check inputs are complete. Anything missing: do NOT invent it - mark[ASSUMED - what/why]in the output and summary. Never hallucinate to fill a gap.- Review required: the artifact contains commitments - after drafting, require the user's review before finalizing; do not close decisions autonomously.
What this skill does
Adds a single Compliance or Policy rule to domain/business_rules.md under the Regulatory/Compliance or User/Authorization section.
A rule belongs here when:
- It stems from a regulatory or legal requirement (GDPR, PSD2, ePrivacy, local tax law)
- It governs admin or ops behavior (what support agents can and cannot do)
- It defines a data handling policy (retention, deletion, logging, consent)
- It enforces a UX behavioral standard required by law or company policy
- It may have regional or partner-specific variations
If the rule has no exceptions and violation causes financial/legal harm → use pm-business-rule-critical.
If it is standard operational logic → use pm-business-rule-core.
When to run: When pm-privacy-requirements or pm-domain-analysis surfaces a regulatory requirement that needs a formal BR-ID. Or during pm-feature-design when a compliance constraint is discovered that must be documented before the feature is built.
Dependencies
Required before running:
pm-business-rules-library-domain/business_rules.mdmust exist (initialized in Phase 4)
Recommended before running:
pm-privacy-requirements- GDPR and compliance requirements become REG-category rulespm-domain-analysis- regulatory requirements from Phase 2 may generate REG entries
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.
- 12d ago First seen · 184 lines · 69 tokens per session scan A 0c59466b5bfd
pm-business-rule-governance is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 1,878 once invoked, about $0.0003 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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