Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add testdouble/han/plugin install han-documentationWrote 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/testdouble/han/runbook)<a href="https://agentmods.dev/skills/testdouble/han/runbook"><img src="https://agentmods.dev/badge/skills/testdouble/han/runbook/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/testdouble/han/runbook"><img src="https://agentmods.dev/badge/skills/testdouble/han/runbook.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 | $0.00126 | $0.03794 |
| Opus 5.5 | $0.00050 | $0.01518 |
| Sonnet 5.5 | $0.00025 | $0.00759 |
| Haiku 4.5 | $0.00013 | $0.00379 |
Grade A, and why
runbook 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 1mo 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create or Update Runbook
Operating Principles
- YAGNI applies to runbooks themselves. Apply the evidence-based YAGNI rule from ../../references/yagni-rule.md. A runbook is worth writing only when the scenario is grounded in something real: an alert that has actually fired, a documented incident, a recurring task that exists, or a known failure mode on a service that receives production traffic. Runbooks for hypothetical alerts, "best practice says we should have one," or "we'll need this someday" are YAGNI candidates and the runbook should be deferred until the scenario actually occurs. The canonical anti-pattern from project history: Sentry runbooks for staging-only Sentry where data isn't reaching production — alerts that will never fire because no signal flows. The user always wins; the rule's job is to make the cost of speculative runbooks visible.
- The companion evidence rule applies to the runbook's supporting evidence. Apply the evidence rule from ../../references/evidence-rule.md to the citations that ground the scenario: name the trust class of each piece of evidence (alert history, incident report, on-call rotation pattern); cite the actual artifact (dashboard URL, ticket ID, log query) rather than paraphrased recollection; and surface single-source claims as such rather than presenting them as settled.
- One runbook per invocation. The skill produces a single runbook file. Multi-runbook batches conflate scope; rerun the skill per scenario.
- Imperative commands with expected output. The template requires every step to show the exact command and what success looks like. Prose paragraphs in place of commands are an authoring failure the skill prompts against.
- Staleness is the failure mode. The template requires owner, last-validated, last-edited, and a change-history entry so decay is visible rather than hidden. The skill does not enforce a review cadence — that is a team-level workflow concern — but the metadata fields make the cadence auditable.
- Readability standard. Source the standard by invoking
han-communication:readability-guidanceand apply it as you write the runbook. Hold its default audience frame: a capable reader who did not do this work and lacks the author's context — here, the operator following the runbook during an incident.
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.
- 1mo ago First seen · 241 lines · 126 tokens per session scan A 1fd29933594a
runbook is a skill published in the GitHub repository testdouble/han (323 stars, last pushed 9d ago), licensed MIT. It adds 126 tokens to every session and 3,794 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
gemini
Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini…
security-architecture-review
Reviews a design or change for security before it ships — authentication and authorization, data handling, secrets, dependencies, and the secure-development practices around it. Use this to review an architecture or pull request for security, set secure coding standards, choose or tune SAST and DAST tooling, assess a…
audit
Project health audit and health check — architecture, performance, tests, dependencies, code quality. Use when assessing overall project health, before releases, or after refactors.
boundaries
Analyze Phoenix context boundaries and module coupling via mix xref. Use when checking cross-context calls, validating dependencies, before splitting modules, or reviewing architecture.
triage
Triage review findings interactively — approve, skip, or prioritize each issue. Use after /phx:review to filter findings before fixing.
pr-threads-address
Address PR review feedback by systematically working through every unresolved PR review thread on the current branch's PR - analyze each comment, make the requested code changes (with tests where useful), commit, and optionally reply and resolve.