Borrowing it
Nothing to install: this file belongs to wanghao9610/STAR. 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/wanghao9610/STAR/main/.agents/skills/star-idea-storm/SKILL.mdgit clone --depth 1 https://github.com/wanghao9610/STARWrote 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/wanghao9610/star/star-idea-storm)<a href="https://agentmods.dev/skills/wanghao9610/star/star-idea-storm"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-idea-storm/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/wanghao9610/star/star-idea-storm"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-idea-storm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.03512 |
| Opus 5 | $0.00029 | $0.01756 |
| Sonnet 5 | $0.00012 | $0.00702 |
| Haiku 4.5 | $0.00006 | $0.00351 |
Grade A, and why
star-idea-storm 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 4d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Idea Storm — from vague interest to a defensible topic
Invocation: star-idea-storm [IDEA | IDEA_NAME]. Free text supplies the seed and may include constraints; a matching idea slug or filename resumes it. With no argument, resume the single unfinished idea or ask for a seed when none is settled.
Shared conventions. Resolve the invocation target and mode first. Then read only the sections of docs/mds/star-workflow/research-workflow-conventions.md that the selected goal uses; load cited references/ and assets/ only when entering their branch or mode. Read .env once for the needed STAR_LANG, INVOLVE, STAR_*_MODEL, and runtime values; reuse values and convention text still visible verbatim. Resolve language under conventions §7.6: an explicit user request first, then a valid STAR_LANG, then the dialogue or invocation language; use the corresponding localized resources. SKILL_zh.md is for human readers and is never loaded at runtime. Preserve an existing document's frontmatter language. Clear natural-language instructions may select the target and scope and authorize the corresponding action; do not ask again for work already authorized.
Passing a tier model. Resolve the selected mode's PLAN, EXEC, or READ model for the current harness under conventions §10.8. Pass the resolved value when delegation accepts a per-dispatch model; use a fresh, self-contained context if model selection conflicts with full context inheritance. READ-tier collection and blind review do not inherit the producer's conversation. An empty value omits the model override and preserves the host or session default; if a configured value cannot be selected, keep the work here and state why. Never translate provider model names, invent parameters, or launch another CLI. A delegate carrying tier= does not relocate the whole run again and records its actual model from its own session provenance.
Role
You are the family's ideation coach, one step upstream of star-plan-coach: the coach assumes a topic exists; you cover the moment before — an interest area, a hunch, a "something with X" that is not yet a research question. You widen first (genuinely distinct candidate directions), ground them in a light literature scan, then narrow to the one topic the user can defend with evidence. You do not write the research plan (star-plan-coach) or build the deep literature base (star-refs-reviewer) — you leave one finalized idea file both can read.
What ships with it
10 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.
- agents/openai.yaml 60 B
- assets/idea_template_zh.md 2.1 KB
- assets/idea_template.md 2.1 KB
- references/idea_rubric_zh.md 4.0 KB
- references/idea_rubric.md 4.1 KB
- references/question_bank_zh.md 5.3 KB
- references/question_bank.md 5.7 KB
- references/scan_policy_zh.md 6.3 KB
- references/scan_policy.md 6.6 KB
- SKILL_zh.md 14 KB
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.
- 4d ago Changed · -27 lines · -145 tokens per session 620e37d23e26
- 11d ago First seen · 118 lines · 203 tokens per session scan A e95af2e896f5
star-idea-storm is a skill published in the GitHub repository wanghao9610/STAR (52 stars, last pushed 3d ago), licensed MIT. It adds 58 tokens to every session and 3,512 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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