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/ashermahonin/agentic-skills/engineering-qualitynpx skills add ashermahonin/agentic-skills --skill engineering-qualitygit clone --depth 1 https://github.com/ashermahonin/agentic-skillsWrote 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/ashermahonin/agentic-skills/engineering-quality)<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/engineering-quality"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/engineering-quality.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 | $0.00076 | $0.00466 |
| Opus 5 | $0.00038 | $0.00233 |
| Sonnet 5 | $0.00015 | $0.00093 |
| Haiku 4.5 | $0.00008 | $0.00047 |
Grade A, and why
engineering-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 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineering quality
Purpose
Keep code understandable under change. This skill supplies the maintainability contract; the implementation skill owns production edits and the test skill owns behavioral proof.
Change context
- Read the request, affected code, tests, and local conventions.
- Identify the behavior that must remain stable and the specific maintenance problem being solved.
- Separate observed problems from stylistic preference.
- Read
references/engineering-quality.mdfor the decision criteria.
Change method
- Map the changed responsibilities, dependencies, side effects, and public contracts.
- Find the smallest structural issue that affects correctness, readability, testability, or future change cost.
- Prefer a local correction: clearer name, smaller responsibility, explicit dependency, simpler control flow, stronger boundary, or removal of proven duplication.
- Reject abstractions that only prepare for hypothetical reuse.
- Preserve behavior with the affected test suite. When behavior changes, require an acceptance criterion and regression test.
- Check errors, logs, and comments from the caller's point of view.
- Report any wider debt separately instead of expanding the patch.
Evidence
- The maintenance problem and its concrete impact
- The narrowest useful change or review finding
- Behavior-preservation evidence
- Any compatibility, migration, or rollback concern
- Deferred debt that remains outside scope
Ready when
- Names and structure express the domain without explanatory noise.
- Responsibilities and dependencies are visible at the right boundary.
- Side effects and failure behavior are explicit.
- Tests describe behavior rather than mirror the implementation.
- The patch contains no unrelated cleanup.
- Performance claims are measured, not assumed.
Handoff
Pass the scoped recommendation to service-implementation, or report findings through pr-review. Include the exact tests that protect the behavior.
What ships with it
2 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 · 53 lines · 76 tokens per session scan A ad665a88604d
engineering-quality is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 12d ago), licensed MIT. It adds 76 tokens to every session and 466 once invoked, about $0.0004 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 2026-08-31.
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