Borrowing it
Nothing to install: this file belongs to suuus/ape-context. 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/suuus/ape-context/main/.github/skills/context-quality/SKILL.mdgit clone --depth 1 https://github.com/suuus/ape-contextWrote 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/suuus/ape-context/context-quality)<a href="https://agentmods.dev/skills/suuus/ape-context/context-quality"><img src="https://agentmods.dev/badge/skills/suuus/ape-context/context-quality/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/suuus/ape-context/context-quality"><img src="https://agentmods.dev/badge/skills/suuus/ape-context/context-quality.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 | $0.00073 | $0.00408 |
| Opus 5.5 | $0.00029 | $0.00163 |
| Sonnet 5.5 | $0.00015 | $0.00082 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
context-quality 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.
What it actually says
Return/persist context_quality_review with artifact, fingerprint, status
(pass, pass_with_warnings, fail, incomplete), dimension statuses,
blocking findings, warnings, unassessed items, and review time.
Run:
python3 <context_artifacts.py> fingerprint \
--target .github/copilot-instructions.md
Helper failure means incomplete.
Checks
- Clarity: scope, terms, environment, data, and autonomy are unambiguous.
- Actionability: objective, constraints, finish line, and escalation exist.
- Fidelity: mandates trace to sources or confirmation. Run
adrp validateandasrp validate; verify any manifest carries exact Intent/Structure fingerprints. Inactive, expired, drifted, invalid, or contradictory records in active context block. - Efficiency: keep the generated section within 80 lines/~2000 tokens.
- Security: block secrets, oversharing, untrusted instructions, or conflicts between tool scope and autonomy.
Failure/incomplete blocks context-ratify. Route source/authority to
context-distill, decisions to context-decisions, architecture/workflow to
context-structure, wording to context-instructions, and tool scope to
Discover/Install. Regenerate and rerun. Mark done only for pass or
pass-with-warnings.
What ships with it
5 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.
- 1mo ago First seen · 44 lines · 73 tokens per session scan A 202ec980f025
context-quality is a skill published in the GitHub repository suuus/ape-context (2 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 408 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 2026-10-03.
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