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 MinhThang1009/dotclaude --skill modernize-extract-rulesgit clone --depth 1 https://github.com/MinhThang1009/dotclaudeWrote 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/minhthang1009/dotclaude/modernize-extract-rules)<a href="https://agentmods.dev/skills/minhthang1009/dotclaude/modernize-extract-rules"><img src="https://agentmods.dev/badge/skills/minhthang1009/dotclaude/modernize-extract-rules/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/minhthang1009/dotclaude/modernize-extract-rules"><img src="https://agentmods.dev/badge/skills/minhthang1009/dotclaude/modernize-extract-rules.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 | $0.00046 | $0.00799 |
| Opus 5 | $0.00023 | $0.00400 |
| Sonnet 5 | $0.00009 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
modernize-extract-rules 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 9d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extract the business rules embedded in legacy/$1 into a structured,
testable specification — the institutional knowledge that's currently locked
in code and in the heads of engineers who are about to retire.
Scope: if a module pattern was given ($2), focus there; otherwise cover the
entire system. Either way, prioritize calculation, validation, eligibility,
and state-transition logic over plumbing.
Method
Spawn three business-rules-extractor subagents in parallel, each assigned
a different lens. If $2 is non-empty, include "focusing on files matching
$2" in each prompt.
-
Calculations — "Find every formula, rate, threshold, and computed value in legacy/$1. For each: what does it compute, what are the inputs, what is the exact formula/algorithm, where is it implemented (file:line), and what edge cases does the code handle?"
-
Validations & eligibility — "Find every business validation, eligibility check, and guard condition in legacy/$1. For each: what is being checked, what happens on pass/fail, where is it (file:line)?"
-
State & lifecycle — "Find every status field, state machine, and lifecycle transition in legacy/$1. For each entity: what states exist, what triggers transitions, what side-effects fire?"
Synthesize
Merge the three result sets. Deduplicate. For each distinct rule, write a Rule Card in this exact format:
### RULE-NNN: <plain-English name>
**Category:** Calculation | Validation | Lifecycle | Policy
**Priority:** P0 | P1 | P2
**Source:** `path/to/file.ext:line-line`
**Plain English:** One sentence a business analyst would recognize.
**Specification:**
Given <precondition>
When <trigger>
Then <outcome>
[And <additional outcome>]
**Parameters:** <constants, rates, thresholds with their current values>
**Edge cases handled:** <list>
**Suspected defect:** <optional — legacy behavior that looks wrong; decide preserve-vs-fix during transform>
**Confidence:** High | Medium | Low — <why; if < High, state the exact SME question>
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.
- 9d ago First seen · 78 lines · 46 tokens per session scan A eb1b14d359b8
modernize-extract-rules is a skill published in the GitHub repository MinhThang1009/dotclaude (20 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 799 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 2026-08-30.
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