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 agentmods add skills/testdouble/han/automated-test-planningnpx skills add testdouble/han --skill automated-test-planninggit clone --depth 1 https://github.com/testdouble/hanWrote 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/automated-test-planning)<a href="https://agentmods.dev/skills/testdouble/han/automated-test-planning"><img src="https://agentmods.dev/badge/skills/testdouble/han/automated-test-planning.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 | $0.00146 | $0.04944 |
| Opus 5 | $0.00073 | $0.02472 |
| Sonnet 5 | $0.00029 | $0.00989 |
| Haiku 4.5 | $0.00015 | $0.00494 |
Grade A, and why
automated-test-planning 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 5d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating Principles
- Test behavior through the public API, never internals. Every recommended test verifies observable behavior at a public seam: the inputs a real caller supplies, the outputs and side effects they observe, and the interactions the unit has with the other objects and services it collaborates with. Do not recommend tests that reach into private methods, internal state, or implementation structure — those tests pin the how and break on every refactor. When two designs would produce the same observable behavior, the test must pass for both. If a behavior can only be observed by inspecting internals, that is a signal the behavior belongs at a different seam, not a license to test the internal; note it and move the recommendation to the public boundary that exposes it. This is the depth ceiling: cover the critical behaviors a caller depends on, and stop. Do not specify tests for every branch, every private helper, or every intermediate value.
- YAGNI is a first-class operating principle for tests. Apply the evidence-based YAGNI rule from ../../references/yagni-rule.md. A test is worth recommending only when (a) the code under review commits to a behavior the test verifies and (b) the failure mode the test would catch is realistic for this codebase. Tests for code paths that don't exist yet, hypothetical adversaries the code doesn't face, hypothetical scaling problems the workload doesn't have, "completeness" with existing tests, or symmetry ("we have a test for create, so we should have one for delete") are YAGNI candidates and go to the Deferred Tests section with the trigger that would justify writing them. When many speculative low-level tests can be replaced by one durable behavioral test that catches the same realistic failure modes, recommend the single test instead. Every test is ongoing maintenance and a brittleness surface.
Project Context
- git installed: !
which git 2>/dev/null || echo "not installed" - CLAUDE.md: !
find . -maxdepth 1 -name "CLAUDE.md" -type f - project-discovery.md: !
find . -maxdepth 3 -name "project-discovery.md" -type f - personal config directory: !
bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude" - project .han/config.md: !
cat .han/config.md 2>/dev/null || echo ""
What ships with it
3 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.
- 5d ago First seen · 278 lines · 146 tokens per session scan A ea82ef46803a
automated-test-planning is a skill published in the GitHub repository testdouble/han (255 stars, last pushed 3d ago), licensed MIT. It adds 146 tokens to every session and 4,944 once invoked, about $0.0007 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 2026-08-30.
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