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 tercel/spec-forge --skill test-plan-generationgit clone --depth 1 https://github.com/tercel/spec-forgeWrote 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/tercel/spec-forge/test-plan-generation)<a href="https://agentmods.dev/skills/tercel/spec-forge/test-plan-generation"><img src="https://agentmods.dev/badge/skills/tercel/spec-forge/test-plan-generation/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/tercel/spec-forge/test-plan-generation"><img src="https://agentmods.dev/badge/skills/tercel/spec-forge/test-plan-generation.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 | $0.00119 | $0.05411 |
| Opus 5.5 | $0.00048 | $0.02164 |
| Sonnet 5.5 | $0.00024 | $0.01082 |
| Haiku 4.5 | $0.00012 | $0.00541 |
Grade A, and why
test-plan-generation 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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Plan Generation Skill
What Is a Test Plan?
A Test Plan is the master document that defines the scope, approach, resources, and schedule of all testing activities for a software project or feature. As specified by IEEE 829 (Standard for Software and System Test Documentation), a test plan communicates the intent of testing to all stakeholders and provides a framework for organizing, tracking, and evaluating test efforts. It answers fundamental questions: what will be tested, how it will be tested, who will test it, when testing will happen, and what criteria determine whether testing is complete.
Within the software development lifecycle a Test Plan sits downstream of the Software Requirements Specification (SRS) and Technical Design documents. It translates functional and non-functional requirements into concrete, verifiable test cases. A well-constructed Test Plan reduces the risk of undetected defects reaching production, provides measurable quality gates, and serves as the contractual agreement between development, QA, and product teams on what "done" means from a quality perspective.
This skill treats the Test Plan as a living artifact. It is authored once, but it evolves as requirements change, new risks emerge, and test execution reveals areas needing deeper coverage.
Six-Step Workflow
Every Test Plan generated by this skill follows a disciplined six-step process. Each step must be completed before moving to the next.
Step 1 -- Scan Project and Test Infrastructure
Before writing any test documentation, scan the project to build situational awareness of both the application under test and the existing test infrastructure.
Fast path (preferred): resolve <sf_scripts> (see @../shared/scripts.md) and run python3 "<sf_scripts>/sf-scan.py" --root "<project_root>". Its JSON supplies the tech stack, frameworks, DB/auth signals, test.framework/test.command, source_tree, and the existing-doc inventory in one pass — use those directly. Fall back to the manual scan below (silently) only when python3 is unavailable.
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.
- 1mo ago First seen · 279 lines · 119 tokens per session scan A 17b9027f91c9
test-plan-generation is a skill published in the GitHub repository tercel/spec-forge (10 stars, last pushed 1mo ago), licensed MIT. It adds 119 tokens to every session and 5,411 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 2026-08-31.
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