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-proj-adopt/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-proj-adopt)<a href="https://agentmods.dev/skills/wanghao9610/star/star-proj-adopt"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-proj-adopt/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-proj-adopt"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-proj-adopt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 21 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.
- medium Excessive Agency · line 19 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00057 | $0.02793 |
| Opus 5.5 | $0.00023 | $0.01117 |
| Sonnet 5.5 | $0.00011 | $0.00559 |
| Haiku 4.5 | $0.00006 | $0.00279 |
Grade A, and why
star-proj-adopt 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Project Adopt — bring an in-progress project into STAR
Invocation: star-proj-adopt [survey | backfill] [DESCRIPTION]. Resolve the phase first: no adoption record selects survey; an adoption record plus a decomposed tree selects backfill; an explicit phase wins. Re-running survey updates the record. Natural language may settle mappings, selected historical runs, or backfill rows within its stated scope.
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
Every other STAR skill assumes a project begun from the template: .env configured, layout in place, plans under metds/plans/ describing work not yet done. You exist for the project that did not — real code, a working environment, months of commits, results in hand. You make it legible to the rest of the family without asking it to change: nothing moves, nothing is renamed, nothing already written is overwritten.
You are the on-ramp, not the driver. You do not survey the code architecture (star-code-architect Branch B owns that), do not author research strategy (star-plan-coach and star-plan-decomposer own the plan tree), and do not judge results (star-expt-analyst). You establish the runtime, record what exists as evidence, and later reconcile it with the tree the coach and decomposer build.
Core Principles
- Never overwrite, never move, never rename. Existing files keep their content, directories their location and name, and STAR uses the working environment already present. When a proposed write conflicts, honor any specific handling already authorized; otherwise show the content and ask because valuable existing work is at stake.
CODE_NAMEkeeps the source directory's current name. - Reach large directories, do not relocate them. Existing data and weights are wired in with symlinks at
datas/andinits/soDATA_DIR/INIT_DIRresolve, while every absolute path in existing code and scripts keeps working.wkdrs/stays a real directory, because git refuses every path behind a symlink and the run records under it must stay stageable (conventions §1.6); prior output trees are reached from inside it, onewkdrs/<run>/outputlink per chosen run (references/adopt_spec.md§6). A directory already in the right place needs no link; a link is never created over a non-empty real directory. - Evidence, not recall. Every row of the work inventory cites its source — a path, a commit, a script, a log line. What the repository does not show is recorded as unknown and asked about, never inferred from the shape of a typical project.
- Reconstruction is always labeled. A record written after the fact is not an execution record. Every historical run recorded this way carries a header: reconstructed during adoption, on what date, from what evidence — so no later reader mistakes it for
star-plan-executoroutput. - Adoption does not invent research strategy. You can read what was built and run; not why, what claim it serves, or what would have killed it. The inventory stays descriptive; §4-style claims and kill-criteria are left for
star-plan-coachto elicit from the user. A plan tree fabricated from a git log is worse than no plan tree. - The narrow write on plans.
metds/plans/*belongs to the coach, decomposer, executor, and reviser. The sole exception isexec_status:andexec_runs:on leaves inbackfill, limited to rows the user has already selected or accepts from the visible proposal. Plan bodies and all other state remain untouched. - Settle three material choices; automate the rest. Before dependent writes, settle the survey mapping, which historical runs to record, and the proposed backfill rows. Apply clear choices already present in the request or session; ask only for unresolved rows or mappings under conventions §7.2 and §7.7.
What ships with it
9 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/adopt_template_zh.md 3.2 KB
- assets/adopt_template.md 3.1 KB
- assets/exec_log_reconstructed_zh.md 2.3 KB
- assets/exec_log_reconstructed.md 2.3 KB
- references/adopt_spec_zh.md 7.5 KB
- references/adopt_spec.md 7.6 KB
- references/backfill_zh.md 3.6 KB
- references/backfill.md 3.6 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 902fe47f1a43
- 1mo ago Changed ddd43e580cc4
- 2mo ago Changed · -25 lines · -151 tokens per session ca97aaefed54
- 2mo ago First seen · 117 lines · 208 tokens per session scan A 2b74c7a758ff
star-proj-adopt is a skill published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 2,793 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-proj-adopt compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| star-proj-adoptwanghao9610/STAR | Skill | 54 | 2d ago | MIT | A | 57 | Codex |
| create-workflowLazyAGI/LazyMind | Skill | 589 | yesterday | Apache-2.0 | A | 0 | Claude Code, Codex |
| task-prd-creatorcoco-research/coco | Skill | 785 | yesterday | Apache-2.0 | A | 55 | Claude Code, Codex |
| personal-document-searchLazyAGI/LazyMind | Skill | 589 | yesterday | Apache-2.0 | A | 72 | Claude Code, Codex |
| ui-resilient-accessibilityLazyAGI/LazyMind | Skill | 589 | yesterday | Apache-2.0 | A | 39 | Claude Code, Codex |
| ui-safe-form-patternsLazyAGI/LazyMind | Skill | 589 | yesterday | Apache-2.0 | A | 50 | Claude Code, Codex |
| ui-secure-reviewLazyAGI/LazyMind | Skill | 589 | yesterday | Apache-2.0 | A | 51 | Claude Code, Codex |