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 7xuanlu/wenlan --skill lintgit clone --depth 1 https://github.com/7xuanlu/wenlanWrote 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/7xuanlu/wenlan/lint)<a href="https://agentmods.dev/skills/7xuanlu/wenlan/lint"><img src="https://agentmods.dev/badge/skills/7xuanlu/wenlan/lint.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 | $0.00031 | $0.03368 |
| Opus 5 | $0.00015 | $0.01684 |
| Sonnet 5 | $0.00006 | $0.00674 |
| Haiku 4.5 | $0.00003 | $0.00337 |
Grade B, and why
lint scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
`find "$HOME/.codex/plugins/cache" -path '*/wenlan/*/bin/resolve-space.sh'` How it starts
The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/lint
The public forms are /lint [scope], /lint deep [scope], and /lint repair [scope]. Accept at most one mutually exclusive deep|repair mode and one
scope selector: global, uncategorized, or space:<name>. Reject unknown or
repeated tokens and mixed scope selectors before any tool call. Public
profile:*, agent, /lint-repair, provider-slot, --fix, and batch modes do
not exist.
For global, omit space. For uncategorized, pass
space="uncategorized". For space:<name>, pass that name. With no explicit
scope, call the installed resolver with --cwd "$PWD": locate it with
find "$HOME/.codex/plugins/cache" -path '*/wenlan/*/bin/resolve-space.sh'
and fall back to plugin-codex/bin/resolve-space.sh only inside a wenlan
checkout. Use a non-empty result, otherwise omit space. Bash is allowed only
for that exact resolver.
CLI fallback: wenlan lint --profile deep --agent-assist (submissions via
--agent-submission <file>); the MCP repair-manifest tools have no CLI
equivalent yet.
Plain /lint, /lint deep, the lint MCP tool, and /api/lint are fully
read-only. /lint repair begins with the same read-only diagnostics;
preparation writes only private contract artifacts, and only a later exact
apply repair ... approval may mutate canonical memory. Although this skill
statically lists repair tools, plain and deep modes may call only
mcp__wenlan__lint.
Plain and deep diagnostics
General uses exactly one lint MCP call with the resolved scope; it returns the
same text wenlan lint prints, whose Lint: line carries the check, finding,
advisory and incomplete counts. /lint deep uses the Agent-assisted Deep
protocol below and returns the typed report. Render only the final canonical
report in canonical order. State is incomplete when complete is false,
otherwise findings when actionable findings are nonzero, otherwise clean.
Advisories remain visible but do not change the state to findings.
Agent-assisted Deep uses exactly two lint MCP calls:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 249 lines · 31 tokens per session scan B 71f4a4e3c59d
lint is a skill published in the GitHub repository 7xuanlu/wenlan (64 stars, last pushed today), licensed Apache-2.0. It adds 31 tokens to every session and 3,368 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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