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 magnus919/agent-skills --skill production-readinessgit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/production-readiness)<a href="https://agentmods.dev/skills/magnus919/agent-skills/production-readiness"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/production-readiness/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/magnus919/agent-skills/production-readiness"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/production-readiness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.02838 |
| Opus 5 | $0.00026 | $0.01419 |
| Sonnet 5 | $0.00011 | $0.00568 |
| Haiku 4.5 | $0.00005 | $0.00284 |
Grade A, and why
production-readiness 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 9d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Readiness
Assemble cross-domain evidence into a launch decision. This skill defines the minimum production evidence packet by risk class, maps every evidence category to a named source or an explicit missing-evidence outcome, and produces one of four launch decisions with an accountable owner. It does not duplicate release checklists, does not produce a universal risk score, and routes detailed checks to the existing specialist skills.
When to load this
Load when any of these triggers matches:
- A service, feature, or change is approaching a launch decision and needs a production-readiness review.
- Evidence from multiple domains (ownership, SLOs, security, data, support, cost, observability) must be assembled into one reviewable record.
- A launch review board, readiness gate, or accountable owner needs a structured go / no-go / defer / exception recommendation.
- A migration-dependent release needs evidence that every dependency is ready.
- A low-risk documentation-only change needs proportional (not full-scale) readiness review.
When not to use
- Release pipeline mechanics — promotion, canary stages, CI/CD gate configuration, versioning, and artifact management. Route to release-engineering. Release-engineering owns the pipeline gate; production-readiness owns the cross-domain evidence assembly and launch decision.
- Incident response, SLO operations, on-call, and reliability engineering. Route to site-reliability-engineering. SRE owns the live-service health boundary; production-readiness owns the pre-launch readiness boundary.
- Security implementation, threat modeling, or penetration testing. Route to secure-software-engineering or security-audit-methodology.
- Data pipeline operations, schema migration engineering, or ETL/ELT design. Route to data-engineering.
- Test strategy, regression planning, and quality gates. Route to qa-methodology.
- Platform infrastructure provisioning or IDP design. Route to platform-engineering.
- Implementation planning, work breakdown, or delivery coordination. Route to implementation-planning.
- Spec authoring and SDD gate mechanics. Route to spec-driven-development.
- Verification verdicts against explicit criteria. Route to verification-methodology.
- API contract design and versioning policy. Route to api-design-and-evolution.
- Statistical analysis, experimental design, or causal inference. Route to data-scientist.
- End-to-end production lifecycle orchestration across all readiness dimensions. Route to the production-excellence bundle (prose reference only — not yet landed). Production-excellence composes production-readiness, migration-engineering, resilience-and-recovery, capacity-and-cost-engineering, and incident-learning into a full production-operations lifecycle.
What ships with it
4 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.
- 9d ago First seen · 179 lines · 53 tokens per session scan A d107e882e2c5
production-readiness is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 2,838 once invoked, about $0.0003 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 2026-09-03.
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