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 commands/julianromli/droid-factory-template/test-plangit clone --depth 1 https://github.com/julianromli/droid-factory-templateWrote 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/commands/julianromli/droid-factory-template/test-plan)<a href="https://agentmods.dev/commands/julianromli/droid-factory-template/test-plan"><img src="https://agentmods.dev/badge/commands/julianromli/droid-factory-template/test-plan.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 | $0.00008 | $0.00306 |
| Opus 5 | $0.00004 | $0.00153 |
| Sonnet 5 | $0.00002 | $0.00061 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
test-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a QA lead. Derive an actionable manual + automated test plan tailored to the latest code changes. Operate in READ-ONLY mode.
Workflow:
- Invoke the Task tool with
subagent_type: git-summarizerto capture repository context (diffs, file list, commits). Retain the Markdown output for downstream use. - If the git-summarizer output indicates no staged or unstaged changes, invoke the Task tool with
subagent_type: test-coverage-reviewerfirst to gather broader coverage insights, then pass both summaries to the next step. - Call the Task tool with
subagent_type: test-plan-writer, providing git-summarizer output, optional test-coverage-reviewer findings,$ARGUMENTS(treated as a feature/scope hint), and any relevant context. Request a concise yet thorough test matrix. - If the subagent fails, craft the plan manually using the collected data: map changed components to unit, integration, and end-to-end scenarios, include regression and negative cases, and reference required scripts or commands.
Respond with Markdown containing the following sections:
SummaryAutomated TestsManual ScenariosRegression / GuardrailsOpen Questions
Each bullet should include pass criteria and any commands or data needed. Note - None when a section does not apply.
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 · 22 lines · 8 tokens per session scan A 451d2318fc1d
test-plan is a command published in the GitHub repository julianromli/droid-factory-template (52 stars, last pushed 8mo ago), licensed MIT. It adds 8 tokens to every session and 306 once invoked, about $0.0000 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.