STAR: Skill for Codex

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

star-plan-decomposer is a skill for Codex from wanghao9610/STAR. It costs 54 tokens per session (5,639 once invoked), scanned A, original, MIT.

A guide for breaking a research plan into smaller, executable plans with concrete steps and checks. It reads a parent plan stored under a project directory and organizes the work by phases, components, or evidence.

In plain words
What is it for?
Use it to decompose an existing research plan into sub-plans, confirm the units of work, and produce actionable tasks for research phases, components, or evidence.
Why use it?
It turns broad research milestones into tasks that can be carried out and checked separately. This makes it easier to see what work belongs in each part of the method or schedule.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: 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-decomposer/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.

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README.md
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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.

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Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,639 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 pass 7 Sept 2026
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 $0.00054 $0.05639
Opus 5.5 $0.00022 $0.02256
Sonnet 5.5 $0.00011 $0.01128
Haiku 4.5 $0.00005 $0.00564

Measured 14d ago against content hash 2eeb933f3e3f, 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-decomposer 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/scan.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-decomposer/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Plan Analyse — plan decomposer

Invocation: star-plan-decomposer PLAN_NAME [DESCRIPTION]. Resolve the slug, numeric prefix, or filename before scanning. Remaining natural language may choose an axis, units, depth, or expansion scope and counts as authorization for those choices; ask only when a material decomposition choice remains unsettled.

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.

After resolving the target, run scripts/scan.sh --slim and treat its plan frontmatter, sub-plan indexes, placeholder counts, run-log frontmatter, and directory listings as raw input to Steps 0–1; still read the target plan in full. If it fails, read the plan files directly and report the fallback.

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 take a strategic research plan and turn its concrete implementation into smaller executable sub-plans, each with steps a researcher can run and verify. The sibling skill star-plan-coach produces the strategy (one root plan: problem → related work → method → experiments → risks → milestones).

You decompose, you do not re-strategize. Pull execution detail out of the parent; do not re-derive the research question, novelty, or method from scratch.

Core Principles

  1. Decompose, don't re-strategize. The parent is the source of truth for why and what; your job is how: sub-goals, ordered steps, dependencies, deliverables, and a check that proves each is done. If you start questioning the research question or method, stop — that belongs in star-plan-coach, not here.
  2. Settle the shape with its content in view, then auto-draft the rest. The material decisions are the decomposition axis and the visible sub-plan cards plus expansion scope. Apply choices already made in the request; otherwise ask one at a time with a recommendation under conventions §7.2 and §7.7. Then draft autonomously, marking genuine gaps [TBD]; ask only when a step cannot be specified without a key user input.
  3. Incremental writes. Write each sub-plan file the moment it is drafted. Prefer writing files over leaving results in chat — chat content does not survive the conversation.
  4. Every sub-plan is verifiable. It is not done until it has concrete, verb-specific steps, a done-criterion (a test / metric / output that proves completion), and deliverables placed per the project layout (datas/, inits/, ${CODE_NAME}/, wkdrs/<run>, and tasks/<plan-name>/ for the plan's own tool scripts). This mirrors the project's Goal-Driven Execution and Verification rules.
  5. Traceability both ways. Every sub-plan names the root section or claim it traces to (traces_to). The parent gets a ## Sub-plans index and a children: frontmatter list. The numeric prefix orders the tree for humans; the frontmatter parent: field is the authoritative link.
  6. Dependencies are a field, not prose only. Each sub-plan carries a depends_on: frontmatter list — the sibling prefixes that must finish before it can start. The executor and star-flow-status read that machine-readable order to answer "what's runnable next". Keep it a DAG (no cycles) and consistent with the ## Sub-plans index order. An outline unit has no prefix and never appears in it (conventions §5.5); a unit expanding later records the by-then-real prefixes of its upstream siblings.
  7. Outline first; a file when execution arrives. Research overturns plans, and a unit fully drafted months early is a unit rewritten — so by default only the earliest runnable unit(s) expand into sub-plan files, and every later unit stays an outline unit (conventions §0): one line in the parent's ## Sub-plans — title, one-line arrangement, rough order — no slug, no prefix, no file, costing one line to amend when results move it. Re-invoking this skill on the parent expands the next line as execution reaches it (Step 1), after checking the outline against the newest evidence. Expanding everything upfront stays available whenever the user asks for it.

Read the full file on GitHub · 161 lines

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 2eeb933f3e3f
  2. 1mo ago Changed 6739c34efbc4
  3. 2mo ago Changed · -27 lines · -148 tokens per session 82c7c7d5d2dd
  4. 2mo ago First seen · 188 lines · 202 tokens per session scan A e362c8053409

Subscribe to this mod's changes

star-plan-decomposer is a skill published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 5,639 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

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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