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-code-release/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-code-release)<a href="https://agentmods.dev/skills/wanghao9610/star/star-code-release"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-code-release/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-code-release"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-code-release.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 | $0.03828 |
| Opus 5.5 | $0.00023 | $0.01531 |
| Sonnet 5.5 | $0.00012 | $0.00766 |
| Haiku 4.5 | $0.00006 | $0.00383 |
Grade A, and why
star-code-release 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Code Release
Invocation: star-code-release [gather | polish | readme | check] [DESCRIPTION]. Resolve the phase before loading its sources: no phase runs gather → polish → readme → check; an explicit phase runs only that phase. check writes only its report. Remaining natural language may constrain or authorize the selected work.
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
Serve as the family's last mile. Everything upstream writes for the project's own memory — plans, execution records, analysis reports, method documents, a results table. This skill writes for a stranger who clones the repository: code consolidated where metds/codearc.md says it belongs, files a reader will open that read clearly, a README compiled from what the project has. The other skills make the work auditable; this one makes it legible.
Consolidate, polish, and document; do not implement features, restructure the codebase, revise plans, compile method documents, or produce results. Route what a run reports beyond what it may write: a missing placement rule to star-code-architect, broad code-quality findings to star-code-reviewer, a missing method document to star-metd-summarize, a missing or stale results table to star-expt-analyst aggregate, a missing bibliography entry to star-refs-reviewer, an unusable environment to star-env-builder, plan text a promotion made stale to star-plan-reviser.
Core Principles
- Every README line traces to an artifact on disk. The README is compiled, not composed: section by section from
metds/overview.md,framework.md,dataset.md,training.md,evaluation.md,wkdrs/results/results.md,metds/codearc.md,${CODE_NAME}/UPSTREAM.md,${CODE_NAME}/requirements*, the newestwkdrs/env_*/ENV_REPORT.md, andmetds/refs/reference.bib. The map isreferences/readme_map.md, which also says what a section does when its source is absent. A plausible paragraph about a method nobody wrote down is an invention. - Numbers come from the results table; commands come from disk. Every README number is copied from
wkdrs/results/results.mdwith its run — never from anEXEC_LOG, never from a digest (star-expt-digestsays so itself), never from memory. Every command the README prints is resolved first: the script file and the config path exist, the entry point imports. What does not resolve is dropped or marked unverified. Superlatives are claims: "state-of-the-art", "outperforms X" and "best" appear only where the results table's own verdict carries them. - Promotion is evidence-backed; placement follows the spec. A file leaves
tasks/,wkdrs/, or the project root only when one of three holds: the README will cite it, an executed leaf's §4 deliverable or §5 done-criterion needs it, or it reproduces a number inwkdrs/results/results.md. Everything else stays put —tasks/scratch is meant to be disposable (conventions §9), and a release is no excuse to tidy the whole repository. The destination comes frommetds/codearc.md§2; a candidate no placement rule covers is an architecture gap forstar-code-architect, never a directory invented here. Rubric:references/gather_rubric.md. - Polish the files a reader will open, and only them. In scope: the files promoted this run, the entrypoints, configs and scripts the README prints, and the public API it shows. Under an authorized
polishor full run, apply routine behavior-preserving fixes autonomously; ask only when a finding changes behavior, scope, acceptance, cost, a key input, or overwrites valuable work. The wider audit belongs tostar-code-reviewer. - Hygiene findings block, and they are found before anything is called ready. A committed
.env, an API or W&B token, a/home/<user>or/Users/<user>path, an internal cluster hostname, a root license that conflicts with the upstream licensecodearc.md§5 recorded — each is a release blocker, reported withfile:line. A run with open blockers says so in its verdict and never reports the project ready to release. Checklist:references/release_checklist.md. - Prepare a release; never publish one. No
git push, nogh repo create, no remote, no tag, no GitHub release, no uploading weights or datasets anywhere. Publishing is irreversible and the user's to do — hand the commands back. The STOP line applies unchanged: nothing trains, nothing evaluates on a full dataset, and no number is produced to fill a README gap.
What ships with it
11 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 62 B
- assets/readme_template_zh.md 7.5 KB
- assets/readme_template.md 7.7 KB
- assets/release_report_template_zh.md 4.0 KB
- assets/release_report_template.md 3.9 KB
- references/gather_rubric_zh.md 7.1 KB
- references/gather_rubric.md 7.3 KB
- references/readme_map_zh.md 7.1 KB
- references/readme_map.md 7.5 KB
- references/release_checklist_zh.md 6.7 KB
- references/release_checklist.md 6.7 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.
- 14d ago Changed 1777dd664c9b
- 1mo ago Changed 19ddeafda7ea
- 2mo ago Changed · -25 lines · -137 tokens per session 42393f3fd7fd
- 2mo ago First seen · 126 lines · 195 tokens per session scan A 57b595a08d58
star-code-release is a skill published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 3,828 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.
star-code-release compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| star-code-releasewanghao9610/STAR | Skill | 54 | 2d ago | MIT | A | 58 | Codex |
| flow-next-landgmickel/flow-next | Skill | 717 | yesterday | MIT | A | 35 | Claude Code, Codex |
| changelogratel-ai/ratel | Skill | 550 | yesterday | MIT | A | 74 | Claude Code |
| development-workflowathola/claude-night-market | Skill | 348 | yesterday | MIT | A | 20 | Claude Code |
| git-workflowvstorm-co/pydantic-deepagents | Skill | 1.1k | 7d ago | MIT | A | 17 | Claude Code, Codex |
| share-a-libraryMoizIbnYousaf/Ai-Agent-Skills | Skill | 1.2k | 1mo ago | MIT | A | 41 | Claude Code, Codex |
| github-clizhinjs/zhin | Skill | 137 | today | MIT | A | 30 | Claude Code, Codex |