STAR: Skill for Codex

.agents/skills/star-plan-coach/SKILL.md

star-plan-coach is a skill for Codex from wanghao9610/STAR. It costs 52 tokens per session (3,461 once invoked), scanned A, original, MIT.

A guided process for writing or refining a research plan, proposal, or thesis opening report one question at a time. It develops sections such as the problem, related work, method, experiments, risks, and milestones.

In plain words
What is it for?
Use it to develop a new research idea, refine an existing plan, and document decisions about methods, experiments, risks, and deadlines.
Why use it?
It helps turn an early research idea into a structured plan while keeping unfinished work available for later sessions. Each completed section is written to the project's research-plan directory.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is wanghao9610/STAR's own configuration. It tells Codex how to work on STAR 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 STAR configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/wanghao9610/STAR/main/.agents/skills/star-plan-coach/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/wanghao9610/STAR

Made for: 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 star-plan-coach

README.md
[![agentmods](https://agentmods.dev/badge/skills/wanghao9610/star/star-plan-coach/github.svg)](https://agentmods.dev/skills/wanghao9610/star/star-plan-coach)
Your own site
<a href="https://agentmods.dev/skills/wanghao9610/star/star-plan-coach"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-plan-coach/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 star-plan-coach

Your own site · 80×15
<a href="https://agentmods.dev/skills/wanghao9610/star/star-plan-coach"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-plan-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,461 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 77
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
How audits are shown
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 $0.00052 $0.03461
Opus 5.5 $0.00021 $0.01384
Sonnet 5.5 $0.00010 $0.00692
Haiku 4.5 $0.00005 $0.00346

Measured 14d ago against content hash a71dfb1a62c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

star-plan-coach 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.

.agents/skills/star-plan-coach/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Plan Coach

Invocation: star-plan-coach [TOPIC | IDEA_NAME | PLAN_NAME [SECTION]]. A topic or finalized idea seeds a plan; a plan plus section key reopens that section; no argument resumes the single unfinished plan. Resolve ambiguity rather than choosing among multiple plans or ideas.

Shared conventions. Follow docs/mds/star-workflow/research-workflow-conventions.md for scope, authority, .env controls (STAR_LANG, INVOLVE, STAR_*_MODEL), runtime, language and provenance. Its opening loading rule selects the sections and localized resources this task needs.

Passing a tier model. Before delegation, read conventions §6 (scope and independent context), §10.8 (tier selection), and the current harness entry in §13 (model and depth controls).

Role

You are a senior CS research mentor. Your job is not to write the plan but to help the user clarify their thinking through questions, then organize what they clarified into prose: they contribute the thinking, you contribute structure, probing questions, and domain common sense.

Core Principles

  1. The user supplies the thinking, you supply the structure: Guide the user to their own answers. The candidate options (see 2) lower the cost of thinking, not the amount of it. When the user is clearly stuck (says "I don't know", stays vague across turns, or asks for help), stop re-asking and invite them to pick or edit a candidate outright. Lean on the options hardest in experiment design and metrics.
  2. One question at a time. Deliver every coaching question one at a time — through your question tool, falling back to one concise plain-text question only in a non-interactive run — waiting for the answer before asking the next. Never dump multiple questions as a list in one message. Give each question 2–4 short, concrete candidate options drafted from the question bank and what the user has already said, with your recommendation marked — always note that the user may answer freely outside the options. Each option says what it would put in the section, not just what it is called (conventions §7.3): "scope to single images" is a label; "§3 commits to a single-image method, and the video extension moves to §5 as future work" is the choice the user is actually making. Anchor a question that builds on an earlier answer in one clause (§7.10). When an answer could be read more than one way, restate what you heard in one or two sentences before moving on — this catches misunderstandings early. Exception: questions too open for meaningful candidates (e.g., the initial research topic) may be asked without options.
  3. Incremental writes: Write each finished section to the plan file immediately, rather than leaving results only in chat — chats end; files do not.
  4. Respect pace: The user may say "skip", "leave this section for now", or "just draft it for me". Do so, and mark the section status honestly in the file (skipped, or note "AI-drafted, pending confirmation").

Read the full file on GitHub · 83 lines

Files

What ships with it

7 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.

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 Changed a71dfb1a62c2
  2. 1mo ago Changed f4040a33f621
  3. 1mo ago Changed · +2 lines cce30dd9c442
  4. 2mo ago Changed · -23 lines · -69 tokens per session 8691ae1f8992
  5. 2mo ago First seen · 104 lines · 121 tokens per session scan A cbf3b444c1ed

Subscribe to this mod's changes

star-plan-coach is a skill published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 3,461 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 2026-08-30.

Related

star-plan-coach compared with skills from other repositories

star-plan-coach next to 6 skills from other repositories
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star-plan-coachwanghao9610/STARSkill542d agoMITA52Codex
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task-prd-creatorcoco-research/cocoSkill785yesterdayApache-2.0A55Claude Code, Codex
personal-document-searchLazyAGI/LazyMindSkill589yesterdayApache-2.0A72Claude Code, Codex
ui-resilient-accessibilityLazyAGI/LazyMindSkill589yesterdayApache-2.0A39Claude Code, Codex
ui-safe-form-patternsLazyAGI/LazyMindSkill589yesterdayApache-2.0A50Claude Code, Codex
ui-secure-reviewLazyAGI/LazyMindSkill589yesterdayApache-2.0A51Claude Code, Codex