knowledge-mcp: Skill for Claude Code

.claude/skills/test-plan/SKILL.md

test-plan is a skill for Claude Code from fulminate-io/knowledge-mcp. It costs 36 tokens per session (629 once invoked), scanned A, original, Apache-2.0.

A guided process for designing a structured software test plan with steps and pass-or-fail criteria.

In plain words
What is it for?
Researching a codebase, checking existing decisions, agreeing on test scope, and creating a test plan in the knowledge store.
Why use it?
It helps teams decide what to test and how to judge the results before testing begins.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is fulminate-io/knowledge-mcp's own configuration. It tells Claude Code how to work on knowledge-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything knowledge-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fulminate-io/knowledge-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fulminate-io/knowledge-mcp/main/.claude/skills/test-plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fulminate-io/knowledge-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for test-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/test-plan/github.svg)](https://agentmods.dev/skills/fulminate-io/knowledge-mcp/test-plan)
Your own site
<a href="https://agentmods.dev/skills/fulminate-io/knowledge-mcp/test-plan"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/test-plan/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.

agentmods 80×15 button for test-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/fulminate-io/knowledge-mcp/test-plan"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/test-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00629
Opus 5.5 $0.00014 $0.00252
Sonnet 5.5 $0.00007 $0.00126
Haiku 4.5 $0.00004 $0.00063

Measured 2mo ago against content hash 60f0ebb9e8d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

.claude/skills/test-plan/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Test Plan: $ARGUMENTS

For universal orchestration discipline (background spawning, user touch points), reference /orchestrate. This skill is test-planning-specific.

You are creating a structured test plan in the knowledge store. Delegate to the test-planner agent — it researches the codebase, checks existing decisions and rules, then creates a test plan with steps and pass/fail criteria.

Step 0: Check Index Freshness

manage({ "operation": "status" })

If behind HEAD, offer to reindex. Test-planner needs accurate code search.

Step 1: Understand the Goal

Read $ARGUMENTS. If unclear or ambiguous, ask specific clarifying questions before spawning. (Architectural clarification = legitimate touch point.)

Step 2: Spawn the Test-Planner Agent

The test-planner will: search knowledge nodes → batch-search code → check past decisions/rules → deep-dive key functions via traverse → think about trade-offs → discuss scope/ordering/criteria with user → create test plan → verify with assemble.

Step 3: Present the Test Plan

When the test-planner returns:

  • Plan structure (steps + ordering)
  • Pass/fail criteria per step
  • Any assumptions or scope decisions

User reviews before execution (legitimate touch point — plan approval, like /plan reviewer gate).

Step 4: Bridge to Execution

  • Ready: suggest /test to execute.
  • Needs changes: spawn another test-planner with modifications, or mutate(operation:"update", ...) directly.
  • Needs more research: suggest /research on the unclear area.

Read the full file on GitHub · 72 lines

Changes

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.

  1. 2mo ago First seen · 72 lines · 36 tokens per session scan A 60f0ebb9e8d3

Subscribe to this mod's changes

test-plan is a skill published in the GitHub repository fulminate-io/knowledge-mcp (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 629 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens