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.
curl -O https://raw.githubusercontent.com/Moonwuk/MoonMcp/main/.claude/skills/assessment-planning/SKILL.mdgit clone --depth 1 https://github.com/Moonwuk/MoonMcpWrote 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/moonwuk/moonmcp/assessment-planning)<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.
<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>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 | $0.00047 | $0.00723 |
| Opus 5.5 | $0.00019 | $0.00289 |
| Sonnet 5.5 | $0.00009 | $0.00145 |
| Haiku 4.5 | $0.00005 | $0.00072 |
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.
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:
- Recall prior state with
memory_brief(target)andmemory_lesson(action="recall"). - Read
server_status,scope_list, and the active program profile. - Confirm target, inclusions, exclusions, credentials/roles, permitted test classes, rate limits, state-change restrictions, time window, and stopping conditions.
- Resolve ambiguity with the operator. Do not infer authorization from DNS ownership, public reachability, or a bug-bounty brand.
- 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
- Authorize with
program_useorscope_add. - Call
run_start(target, focus, max_requests, max_tool_calls, max_intrusive_calls). - Inspect the seeded coordinator→mapper→hypothesis→validator→reporter graph.
- Add target-specific tasks with
run_task_add; connect prerequisites withdepends_on. - Add or refine coverage using
run_coverage_update. - Show the operator the plan when it includes intrusive, authenticated, expensive, or state-changing work. Wait for explicit approval before that tier.
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.
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.
- 14d ago First seen · 70 lines · 47 tokens per session scan A b2a99c5d8c86
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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