Borrowing it
Nothing to install: this file belongs to wordbricks/onequery. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wordbricks/onequery/main/.agents/skills/agentic-legibility/SKILL.mdgit clone --depth 1 https://github.com/wordbricks/onequeryWrote 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/wordbricks/onequery/agentic-legibility)<a href="https://agentmods.dev/skills/wordbricks/onequery/agentic-legibility"><img src="https://agentmods.dev/badge/skills/wordbricks/onequery/agentic-legibility/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/wordbricks/onequery/agentic-legibility"><img src="https://agentmods.dev/badge/skills/wordbricks/onequery/agentic-legibility.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 | $0.00075 | $0.00922 |
| Opus 5.5 | $0.00030 | $0.00369 |
| Sonnet 5.5 | $0.00015 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
agentic-legibility 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 5d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Legibility
Overview
Measure how legible a repository is to coding agents using seven repo-visible metrics: bootstrap self-sufficiency, task entrypoints, validation harness, lint and format gates, agent repo map, structured docs, and decision records.
The scorer can auto-discover nested scopes such as client/, server/, or language-specific subtrees when the repo clearly routes work into a self-contained subsystem with its own manifests, commands, or agent docs.
Keep the main score limited to evidence present in version control. Do not claim branch protection, CI reliability, team habits, or other external-system properties unless the user asks for a separate operational review.
Use metric selection when you want to split scoring across multiple hosted-shell or Responses API runs and aggregate the JSON results upstream.
Hosted Use
This folder is the skill bundle you upload or register when you want to mount agentic-legibility into hosted shell.
Public docs for that workflow:
Workflow
- Run
scripts/score_repo.pyagainst the target repository. - Check the reported
evaluated_scopeanddiscovered_scopes. - If the repo has multiple plausible sub-scopes, inspect the root README or user instructions and rerun with
--scopewhen needed. - Read
references/scorecard.mdonly if you need the exact rubric, want to explain edge cases, or need to adjust recommendations. - Inspect a small number of files manually only when the script reports low confidence or the evidence looks stale.
- Report the selected metric scores, concrete evidence, the largest gaps, and the highest-value next fixes.
Commands
Run the detector from the skill directory or pass an absolute path:
What ships with it
3 files 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.
- 5d ago First seen · 74 lines · 75 tokens per session scan A 4dd9a673f5ee
agentic-legibility is a skill published in the GitHub repository wordbricks/onequery (17 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 922 once invoked, about $0.0003 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 2026-09-25.
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