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/idea-gen/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/idea-gen)<a href="https://agentmods.dev/skills/moonwuk/moonmcp/idea-gen"><img src="https://agentmods.dev/badge/skills/moonwuk/moonmcp/idea-gen/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/idea-gen"><img src="https://agentmods.dev/badge/skills/moonwuk/moonmcp/idea-gen.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 | $0.00163 | $0.03105 |
| Opus 5.5 | $0.00065 | $0.01242 |
| Sonnet 5.5 | $0.00033 | $0.00621 |
| Haiku 4.5 | $0.00016 | $0.00311 |
Grade A, and why
idea-gen 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea generation skill
Two independent modes live here. Mode A brainstorms what to try next against a target already in this engagement. Mode B brainstorms what MoonMCP itself should grow next. Pick the mode by what's being asked about — a target/host name means Mode A, a capability/gap/research question means Mode B. Don't mix them: Mode A never proposes new tools, Mode B never touches a live target.
Mode A — Attack-vector brainstorming for a scoped target
Triggered by "what should I try next on <target>" / "brainstorm attack vectors
for <target>". Output a ranked, non-redundant set of testable hypotheses
grounded in this engagement's actual recon signal — never a generic checklist.
RECALL. Pull everything already known before touching the target again:
memory_brief(target)— one-shot rollup of entities, findings, leads, cross-target lessons.memory_search(query=target, target=target)(addtrust="curated"to skip unverified scraped noise) for anythingmemory_brieftruncated.memory_lesson(action="recall", query=target or the tech name)— prior tradecraft that might rule an approach in or out (e.g. a WAF that already eats a payload class here).list_findings(target)— confirmed/labelled findings and theiroutcome(true_positive/false_positive/duplicate/wont_fix).
SIGNAL. Pull the entity graph rather than re-scanning: memory_graph(target)
returns technology, service, endpoint, param, credential, cve, and
asset nodes already discovered. Only when a needed signal is genuinely missing
(no tech fingerprint, no endpoint list) recommend the one specific light-active
tool that produces it — fingerprint, analyze_headers, tls_inspect,
well_known, crawl, waf_detect, parse_openapi,
discover_parameters — before hypothesizing further. Don't guess where a
one-tool-call answer exists. (identify_waf is a separate, offline knowledge-base
lookup — it matches text you already captured against vendor fingerprints and
sends no traffic itself; reach for it in CROSS-REF alongside waf_info, not here.)
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 · 170 lines · 163 tokens per session scan A db3c5b4a35ed
idea-gen is a skill published in the GitHub repository Moonwuk/MoonMcp (0 stars, last pushed 7d ago), licensed MIT. It adds 163 tokens to every session and 3,105 once invoked, about $0.0007 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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