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 makifbaysal/tasktrooper --skill production-engineering-practicesgit clone --depth 1 https://github.com/makifbaysal/tasktrooperWrote 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/makifbaysal/tasktrooper/production-engineering-practices)<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/production-engineering-practices"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/production-engineering-practices/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/makifbaysal/tasktrooper/production-engineering-practices"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/production-engineering-practices.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 | $0.00034 | $0.00961 |
| Opus 5.5 | $0.00014 | $0.00384 |
| Sonnet 5.5 | $0.00007 | $0.00192 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
production-engineering-practices 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 8d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Engineering Practices
Overview
Acceptance criteria describe the happy path. Production is the unhappy paths: bad input, failed dependencies, concurrent access, hostile users. This skill is the non-negotiable bar every change clears in addition to its AC — the things a reviewer at code_review will bounce you for even when the feature "works."
Core principle: Code isn't done when it works; it's done when it fails safely, leaves a trace, and can't be abused.
The bar
Error handling
- No swallowed errors. Every error is either handled explicitly or propagated with context. An empty catch/
if err != nil { }that continues is a review-blocking defect. - Wrap with context at each layer so the log names where it broke:
fmt.Errorf("create task: %w", err). - User-facing errors are actionable and safe; internal detail (stack, ids) goes to logs, never to the client.
Logging & observability
- Log at the failure site with structured fields (entity id, operation, not free-text).
- Never log secrets, tokens, passwords, or full request bodies that may contain them.
- Log the decision, not the novel — one structured line beats ten prose lines.
Security
- Validate and bound every external input at the boundary: length, type, range, allowed set. Reject early.
- Secrets come from config/env — never hardcoded, never committed, never logged.
- A new endpoint/route gets the SAME auth/authorization guard as its neighbors. Copy the guard, don't omit it.
Performance
- No N+1 queries or requests — batch, join, preload, or cache. A loop issuing one call per row is a defect.
- Bound every result set: pagination or explicit limits on list endpoints and list views.
- Don't load unbounded data into memory; stream or page.
Per stack
| Stack | Adds |
|---|---|
| Backend | Parameterized queries only — no string-concatenated SQL, ever. |
| Web | No dangerouslySetInnerHTML / innerHTML with unsanitised data. Nothing secret in VITE_* / NEXT_PUBLIC_* — those ship to the browser. Every fetch has error and timeout/abort handling, and every route has an error boundary. No token in localStorage unless the repository already does it that way. |
| Mobile | Tokens in Keychain/Keystore (flutter_secure_storage), never in plain prefs. Explicit offline and timeout paths — a request with no network is a state, not a crash. No PII in logs. Permissions requested at the point of use, not on launch. |
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.
- 8d ago First seen · 77 lines · 34 tokens per session scan A b9e09b50727b
production-engineering-practices is a skill published in the GitHub repository makifbaysal/tasktrooper (113 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 961 once invoked, about $0.0001 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 2026-10-05.
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