MoonMcp: Skill for Claude Code

.claude/skills/assessment-planning/SKILL.md

assessment-planning is a skill for Claude Code, Codex from Moonwuk/MoonMcp. It costs 47 tokens per session (723 once invoked), scanned A, original, MIT.

A planning guide for setting up an authorised security assessment, which is a controlled check for weaknesses in a system. It turns a broad security request into a defined target, scope, rules, tasks, and coverage goals.

In plain words
What is it for?
Use it before probing an endpoint, feature, target, or group of assets to confirm permissions, exclusions, test types, rate limits, and measurable tasks.
Why use it?
It prevents testing the wrong systems or sending work that exceeds the agreed limits. It also helps choose an appropriately small or broad assessment plan.

Skill for Claude CodeCodex

Written for Claude Code and Codex: installed under .claude/, but also agents/openai.yaml present.

This is Moonwuk/MoonMcp's own configuration. It tells Claude Code and Codex how to work on MoonMcp 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 MoonMcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Moonwuk/MoonMcp. 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/Moonwuk/MoonMcp/main/.claude/skills/assessment-planning/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Moonwuk/MoonMcp

Made for: Claude Code, Codex.

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 assessment-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/moonwuk/moonmcp/assessment-planning/github.svg)](https://agentmods.dev/skills/moonwuk/moonmcp/assessment-planning)
Your own site
<a href="https://agentmods.dev/skills/moonwuk/moonmcp/assessment-planning"><img src="https://agentmods.dev/badge/skills/moonwuk/moonmcp/assessment-planning/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 assessment-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/moonwuk/moonmcp/assessment-planning"><img src="https://agentmods.dev/badge/skills/moonwuk/moonmcp/assessment-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 723 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 $0.00047 $0.00723
Opus 5.5 $0.00019 $0.00289
Sonnet 5.5 $0.00009 $0.00145
Haiku 4.5 $0.00005 $0.00072

Measured 14d ago against content hash b2a99c5d8c86, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

assessment-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 14d 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/assessment-planning/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assessment Planning

Convert a broad security request into an approved, scope-safe run before active work. Keep planning proportional: do not turn one well-defined check into ceremony.

Adapted for security assessments from obra/superpowers' MIT-licensed brainstorming and writing-plans workflows.

Classify the work

Choose one path:

  • Single check: one known endpoint and hypothesis. Confirm scope, state the exact low-noise check, then execute it.
  • Bounded assessment: one target or feature with a clear focus. Present a short plan, create a run, and seed or adjust tasks.
  • Campaign: several assets, roles, applications, or independent goals. Split into runs with separate budgets and coverage; do not hide a campaign inside one unbounded task.

Upgrade to the heavier path when new independent surfaces appear. Never silently downgrade rules of engagement.

Establish the contract

Before target traffic:

  1. Recall prior state with memory_brief(target) and memory_lesson(action="recall").
  2. Read server_status, scope_list, and the active program profile.
  3. Confirm target, inclusions, exclusions, credentials/roles, permitted test classes, rate limits, state-change restrictions, time window, and stopping conditions.
  4. Resolve ambiguity with the operator. Do not infer authorization from DNS ownership, public reachability, or a bug-bounty brand.
  5. Select budgets for requests, tool calls, and intrusive calls. Start below the permitted maximum.

Design coverage from evidence

Inventory only applicable dimensions:

  • assets and hosts;
  • endpoints, methods, and parameters;
  • anonymous and authenticated roles;
  • technologies and protocols;
  • vulnerability hypotheses;
  • validation and reporting.

Mark each item open, in_progress, covered, not_applicable, or blocked. A checklist item without an evidence source is not covered.

Create the run

  1. Authorize with program_use or scope_add.
  2. Call run_start(target, focus, max_requests, max_tool_calls, max_intrusive_calls).
  3. Inspect the seeded coordinator→mapper→hypothesis→validator→reporter graph.
  4. Add target-specific tasks with run_task_add; connect prerequisites with depends_on.
  5. Add or refine coverage using run_coverage_update.
  6. Show the operator the plan when it includes intrusive, authenticated, expensive, or state-changing work. Wait for explicit approval before that tier.

Read the full file on GitHub · 70 lines

Files

What ships with it

1 file 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.

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. 14d ago First seen · 70 lines · 47 tokens per session scan A b2a99c5d8c86

Subscribe to this mod's changes

assessment-planning is a skill published in the GitHub repository Moonwuk/MoonMcp (0 stars, last pushed 7d ago), licensed MIT. It adds 47 tokens to every session and 723 once invoked, about $0.0002 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 2026-10-13.

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