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 skills/luongnv89/asm/well-formednpx skills add luongnv89/asm --skill well-formedgit clone --depth 1 https://github.com/luongnv89/asmWrote 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/luongnv89/asm/well-formed)<a href="https://agentmods.dev/skills/luongnv89/asm/well-formed"><img src="https://agentmods.dev/badge/skills/luongnv89/asm/well-formed.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 | $0.00022 | $0.00289 |
| Opus 5 | $0.00011 | $0.00144 |
| Sonnet 5 | $0.00004 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
well-formed 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
Well-formed corpus skill
When to Use
- When the user asks to "review this PR" or "check the diff"
- Before merging any change larger than 10 lines
Prerequisites
- A git repository with the target branch checked out
- Read access to the files being reviewed
Instructions
- Run
git diff main...HEADto list files - Read each file and check for common smells
- Emit a markdown report summarising findings
Example
$ asm eval ./well-formed
Overall score: 95/100
Acceptance Criteria
- Produces a markdown report with sections per file
- Flags any use of
eval()orexecas dangerous - Does not modify the working tree
Edge cases
- Empty diffs: emit a short "no changes" note
- Binary files: skip and mention the filename in the report
Safety
See references/safety.md for error handling rules.
Always confirm before writing. Never run destructive commands without a dry-run.
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 · 52 lines · 22 tokens per session scan A 298e95537b51
well-formed is a skill published in the GitHub repository luongnv89/asm (911 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 289 once invoked, about $0.0001 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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