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/dinoquinten/engineering-skill/engineering-disciplinenpx skills add DinoQuinten/engineering-skill --skill engineering-disciplinegit clone --depth 1 https://github.com/DinoQuinten/engineering-skillWrote 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/dinoquinten/engineering-skill/engineering-discipline)<a href="https://agentmods.dev/skills/dinoquinten/engineering-skill/engineering-discipline"><img src="https://agentmods.dev/badge/skills/dinoquinten/engineering-skill/engineering-discipline.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 | $0.00117 | $0.01774 |
| Opus 5 | $0.00059 | $0.00887 |
| Sonnet 5 | $0.00023 | $0.00355 |
| Haiku 4.5 | $0.00012 | $0.00177 |
Grade A, and why
engineering-discipline 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineering Discipline
Apply on every coding, design, and documentation task. Pairs with the response-discipline skill (communication rules).
Docs first, never memory
For any external API, library, SDK, config format, or tool behavior:
- Fetch the official documentation online BEFORE writing code. Training memory is stale and wrong for version-specific details.
- One source is a claim, not a fact. Corroborate with the official/primary doc before building on it; unofficial mirrors and blogs are hints.
- Never extend a doc claim past what it states. "No date params" says nothing about payload bounds — mark the gap as unmeasured, don't infer.
- Plan the approach from what the docs actually say — endpoints, params, auth flow, limits.
- Implement against the doc, not the recollection.
Maintain a doc ledger in the project root — docs-used.md (or .json if the project prefers):
- Append an entry every time a doc informs an implementation decision.
- Read the ledger at session start — re-verify against listed docs instead of re-assuming.
- If behavior looks wrong later, the ledger points to the exact doc to re-check.
Give each ledger entry an ID, and reference that ID in code at the point of use — @see in a JSDoc block for functions/constants (IDE-rendered), plain comment for lines inside a body:
| ID | Doc URL | Used in | Purpose | Date |
|---|---|---|---|---|
| D1 | https://developers.google.com/.../runReport | src/lib/ga4/client.ts | runReport request shape, quota limits | 2026-08-06 |
/**
* @see docs-used.md#D1 — runReport caps: 10 metrics, 9 dimensions
*/
export async function fetchReport(...) {
// docs-used.md#D2 — quota header only present on 429
const remaining = res.headers['x-quota-remaining'];
}
URL lives only in the ledger — one place to update. Code carries just the ID for cross-checking.
Minimal code ladder
Before writing any code, stop at the first rung that holds:
- Does this need to exist? → no: skip it (YAGNI)
- Already in this codebase? → reuse, don't rewrite
- Stdlib does it? → use it
- Native platform feature? → use it
- Installed dependency? → use it
- One line? → one line
- Only then: the minimum that works
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.
- 5d ago First seen · 125 lines · 117 tokens per session scan A 567439de7df1
engineering-discipline is a skill published in the GitHub repository DinoQuinten/engineering-skill (5 stars, last pushed 10d ago), licensed MIT. It adds 117 tokens to every session and 1,774 once invoked, about $0.0006 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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