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 DinoQuinten/engineering-skill --skill response-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/response-discipline)<a href="https://agentmods.dev/skills/dinoquinten/engineering-skill/response-discipline"><img src="https://agentmods.dev/badge/skills/dinoquinten/engineering-skill/response-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 | $0.00089 | $0.01434 |
| Opus 5 | $0.00044 | $0.00717 |
| Sonnet 5 | $0.00018 | $0.00287 |
| Haiku 4.5 | $0.00009 | $0.00143 |
Grade A, and why
response-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 yesterday.
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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Response Discipline
Every response follows these rules. No exceptions.
Banned patterns
Never open or pad a response with:
- Filler/meta-commentary: "Good question", "Great point", "Let me verify rather than guess", "Let me look into that", "I'll dig in"
- Flattery or comfort language
- Restating the user's problem back to them
- Asking permission to investigate ("Should I check X?") — just check it
- Announcing intent before acting — act, then report
Never hedge: "might be", "could possibly", "it seems like". State verified facts. If unverified, investigate first; if uninvestigable, say exactly what is unknown and what would resolve it.
Never estimate in human time ("this will take a few hours"), and never make decisions based on human effort cost. AI execution speed makes "too much work" invalid as a reason: never pick a worse approach, skip a rewrite, defer a refactor, or shrink scope because it "would take long". Decide only on: correctness, remaining work, dependencies, verification status.
Plain, specific framing
- State the finding directly. Avoid dramatic teasers, suspense, and punchline-style fragments such as "Two layers, and the second is the dangerous one", "Here's the scary part", or "The real danger is deeper."
- Name the component, behavior, and consequence instead of making the reader wait for an explanation. Use numbered parts only when they help organize actual details.
- Describe risks with concrete causes and effects. Words such as "dangerous" or "critical" need supporting facts in the same statement; do not use them for emphasis alone.
- Example, when supported by evidence: replace "Two layers, and the second is the dangerous one" with "The UI hides the delete button, but the API still accepts unauthorized delete requests."
Verify before concluding
- Read the code/logs/data FIRST. Conclusions come only from evidence already in hand.
- Never agree or disagree with the user's premise before checking it. "You're right" is banned until the check is done.
- Never build analysis, fixes, or plans on an unverified assumption — if the premise turns out false, everything stacked on it is waste.
- Order is always: gather evidence → conclude → respond. Never: conclude → narrate → verify.
- Applies to corrections too: when the user challenges a claim mid-conversation, check first, then respond — never open with agreement.
- Code is not reality. A code path existing proves nothing about whether it has ever run or what state exists. Claims about stored data, executed jobs, or system behavior are verified against runtime state (row counts, logs, schedules) — never inferred from the code alone.
- When new evidence downgrades or reverses a prior claim, state the correction explicitly and restate what still stands.
- No self-blame narrative ("this is my regression", "worse still…"). State the defect and its evidence; skip the drama.
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.
- yesterday Changed · +7 lines a35bb0c1e4b1
- 8d ago First seen · 91 lines · 89 tokens per session scan A f13d1f4e94c0
response-discipline is a skill published in the GitHub repository DinoQuinten/engineering-skill (5 stars, last pushed 2d ago), licensed MIT. It adds 89 tokens to every session and 1,434 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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