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 Kin9Zeus/senior-engineer-skills --skill engineering-standardsgit clone --depth 1 https://github.com/Kin9Zeus/senior-engineer-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/kin9zeus/senior-engineer-skills/engineering-standards)<a href="https://agentmods.dev/skills/kin9zeus/senior-engineer-skills/engineering-standards"><img src="https://agentmods.dev/badge/skills/kin9zeus/senior-engineer-skills/engineering-standards/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/kin9zeus/senior-engineer-skills/engineering-standards"><img src="https://agentmods.dev/badge/skills/kin9zeus/senior-engineer-skills/engineering-standards.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 | $0.00143 | $0.02626 |
| Opus 5 | $0.00072 | $0.01313 |
| Sonnet 5 | $0.00029 | $0.00525 |
| Haiku 4.5 | $0.00014 | $0.00263 |
Grade A, and why
engineering-standards 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 10d 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineering Standards
Conventions exist to remove decisions that do not matter, so attention goes to the ones that do. The specific choice matters far less than the consistency — three ways to do the same thing in one codebase is a defect even when all three work.
Code that reads well
Optimise for the reader. Code is read many more times than it is written, and usually by someone who has forgotten writing it.
- Names carry the meaning.
daysUntilExpirybeatsd. A good name removes the need for a comment. - Comments explain why, never what. The code says what. A comment that restates the line is noise that will go stale; one that records the reason ("the provider returns 200 on failure, so we check the body") is permanent value.
- Functions do one thing at one level of abstraction. Mixing "orchestrate the checkout" with "format a date string" in one function forces the reader to change altitude mid-sentence.
- Early returns over nesting. Handle the failure and leave; keep the happy path unindented.
- Make illegal states unrepresentable. A discriminated union beats a struct with six optional fields and a comment explaining which combinations are valid.
- Explicit over clever. The clever line saves you a minute now and costs someone twenty later.
- Consistent error handling. One approach per codebase, applied everywhere.
Match the codebase you are in. Even where you would have chosen differently. Argue for the change in a PR of its own; do not smuggle it in alongside a feature.
Git workflow
Trunk-based, with short-lived branches, is right for the large majority of teams. Long-lived branches accumulate merge risk in direct proportion to their age.
main ──●──●──●──●──●──●──► always deployable, protected
\ /
●──●──● feature branch: 1-3 days, then merged
Use Git Flow only if you genuinely ship versioned releases to customers who choose when to upgrade. For anything continuously deployed it is friction with no benefit.
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.
- 10d ago First seen · 263 lines · 143 tokens per session scan A 80404c85d7f6
engineering-standards is a skill published in the GitHub repository Kin9Zeus/senior-engineer-skills (3 stars, last pushed 16d ago), licensed MIT. It adds 143 tokens to every session and 2,626 once invoked, about $0.0007 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.
Other skills, from other repositories
pr-review
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phx-pr-review
Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.
spec-finish
Post-implementation completion workflow for Spec-backed Plans. Use after spec-implement completes to validate, review, create stacked commits, and open a PR via code-pull-request. Triggers only with an active Spec-backed Plan after spec-implement completes, including when the user says "finish", "done", or "complete"…
writing-pull-requests
Generate conventional-commit PR titles, commit messages, and concise PR descriptions from staged changes or a branch diff. Use when the user asks to create a PR, write a PR title, generate a commit message, or draft a PR description. Output goes directly to the chat — never to a file.
slop-scan
Use when scanning tracked repository files for AI slop, verbosity, brittle references, or low-value contributions.
github-pr-best-practices
Best practices for creating GitHub pull requests including conventional commits, PR formatting, and multi-language support (en/ja). Use when creating PRs, writing PR descriptions, or formatting commit messages.