Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/MichelKerkmeester/skilled-agent-harness_spec-driven-loopsnpx agentmods add skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-manual-testing-playbookWrote 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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-manual-testing-playbook)<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-manual-testing-playbook"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-manual-testing-playbook/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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-manual-testing-playbook"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-manual-testing-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 8 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00027 | $0.06017 |
| Opus 5 | $0.00014 | $0.03009 |
| Sonnet 5 | $0.00005 | $0.01203 |
| Haiku 4.5 | $0.00003 | $0.00602 |
Grade A, and why
sk-create-manual-testing-playbook 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 6d 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 — 571 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manual Testing Playbook Creation
create-manual-testing-playbook is the manual-validation package workflow for the sk-doc family. It authors manual-testing-playbook/ packages for skills and systems that need reproducible operator-facing scenarios, evidence capture, release-readiness review, and realistic orchestration or multi-agent execution planning.
Core principle: keep shared rules in the root playbook, keep execution truth in per-feature files, and make every scenario deterministic enough that another operator can reproduce the verdict.
1. WHEN TO USE
Activation Triggers
Use this workflow when the request involves:
/create:manual-testing-playbook.- Creating
manual-testing-playbook/manual-testing-playbook.md. - Building one-file-per-feature manual test scenarios.
- Designing deterministic prompts, command sequences, expected signals, evidence, pass/fail criteria, and failure triage.
- Planning manual validation across multiple operators, agents, CLIs, MCP tools, or runtime surfaces.
- Converting an ad hoc release checklist into a reusable evidence-driven playbook package.
- Aligning a manual testing playbook with a feature catalog.
Keyword triggers: manual testing playbook, /create:manual-testing-playbook, testing playbook, playbook system, deterministic scenario, evidence collection, operator validation, multi-agent execution, release readiness.
Strong signals that a playbook is warranted:
- 5+ distinct features need manual validation.
- Release decisions depend on structured evidence.
- Realistic orchestration behavior matters.
- Multiple operators or agents will execute the same scenarios.
- Automated tests cover internals but not operator-visible behavior.
When NOT to Use
Use another sk-doc packet when:
What ships with it
25 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.
- assets/manual-testing-playbook-snippet-template.md 8.3 KB
- assets/manual-testing-playbook-template.md 19 KB
- changelog/v1.0.0.0.md 1.6 KB
- changelog/v1.0.1.0.md 1.5 KB
- changelog/v1.0.1.1.md 237 B
- changelog/v1.0.1.2.md 1.9 KB
- manual-testing-playbook/manual-testing-playbook.md 12 KB
- manual-testing-playbook/operator-contract/keep-operator-scenarios-in-scope.md 6.1 KB
- manual-testing-playbook/operator-contract/persist-scenario-result.md 6.3 KB
- manual-testing-playbook/package-authoring/create-a-reusable-package.md 6.2 KB
- manual-testing-playbook/package-authoring/keep-policy-in-root.md 5.8 KB
- manual-testing-playbook/package-authoring/leave-one-off-check-alone.md 5.0 KB
- manual-testing-playbook/scenario-design/design-a-deterministic-scenario.md 6.2 KB
- playbook-corpus-manifest.json 771 B
- playbook-failclosed-allowlist.txt 3.6 KB
- README.md 11 KB
- references/common-pitfalls.md 2.5 KB
- references/examples.md 2.2 KB
- references/prompt-voice.md 3.6 KB
- references/README.md 3.4 KB
- scripts/tests/fixtures/clean-package/manual-testing-playbook.md 335 B
- scripts/tests/fixtures/clean-package/scenarios/clean-scenario.md 1.8 KB
- scripts/tests/fixtures/README.md 990 B
- scripts/tests/validate-playbook-package.test.cjs 14 KB runs code
- scripts/validate-playbook-package.cjs 33 KB runs code
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.
- 6d ago Changed 3295f8af59ae
- 8d ago First seen · 571 lines · 27 tokens per session scan A 57a7beffec83
sk-create-manual-testing-playbook is a skill published in the GitHub repository MichelKerkmeester/skilled-agent-harness_spec-driven-loops (35 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 6,017 once invoked, about $0.0001 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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