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 AcKeskin/contexture --skill extract-conventionsgit clone --depth 1 https://github.com/AcKeskin/contextureWrote 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/ackeskin/contexture/extract-conventions)<a href="https://agentmods.dev/skills/ackeskin/contexture/extract-conventions"><img src="https://agentmods.dev/badge/skills/ackeskin/contexture/extract-conventions/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/ackeskin/contexture/extract-conventions"><img src="https://agentmods.dev/badge/skills/ackeskin/contexture/extract-conventions.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 | $0.00056 | $0.03444 |
| Opus 5.5 | $0.00022 | $0.01378 |
| Sonnet 5.5 | $0.00011 | $0.00689 |
| Haiku 4.5 | $0.00006 | $0.00344 |
Grade A, and why
extract-conventions 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 1mo 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
extract-conventions
The convention-extraction organ. Auto-populates the project rule tier. Gates on the rule-prime hook for its output to be load-bearing — without the hook priming the extracted file, it is an inert surface. Feeds naming-and-comments, whose audit cites the project-tier conventions this writes.
Extract observes a scope and makes its implicit, tacit conventions explicit — a durable artefact the rule-prime hook primes and /review audits, rather than stateless per-run re-inference that is drift-prone and points a reviewer at nothing.
When to run
- User types
/extract-conventions <scope>(or with no arg → prompt for scope). - Natural language: "capture this module's conventions", "extract our house style", "codify how this codebase names things".
- Do not auto-fire. Mode A, user-invoked only. Extracting and writing a project-tier rule is a deliberate act, never a session side effect. No hook, no session-start trigger.
Inputs
-
Scope argument — a directory (
src/auth/), a module, or a language (csharp). With no arg, prompt:What scope should I extract conventions from? A directory (
src/auth/), a module, or a language (csharp). -
Working directory —
$CLAUDE_PROJECT_DIRorcwd. Anchors the write target (<project>/.claude/rules/...) and the rule-overlay resolution. -
Per-category accept/edit/reject decisions — collected at the confirm gate (§4). Collaborator principle — never auto-write.
Procedure
1. Resolve scope and sample
Resolve the scope argument to a concrete file set:
| Form | Resolution |
|---|---|
directory (src/auth/) |
every source file under it (recursive), respecting .gitignore |
language (csharp) |
every file of that language across the project (by extension) |
| module name | the directory matching it; if ambiguous, list candidates and ask |
Consume the scope-resolution resolver where shipped for the boundary/granularity model; degrade to language-level when it isn't present. Do not invent a competing granularity model.
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.
- 1mo ago First seen · 198 lines · 56 tokens per session scan A 68e1db3ccef2
extract-conventions is a skill published in the GitHub repository AcKeskin/contexture (2 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 3,444 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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