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-refs-reviewer/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-refs-reviewer)<a href="https://agentmods.dev/skills/wanghao9610/star/star-refs-reviewer"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-refs-reviewer/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-refs-reviewer"><img src="https://agentmods.dev/badge/skills/wanghao9610/star/star-refs-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Memory Poisoning · line 107 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00065 | $0.06156 |
| Opus 5.5 | $0.00026 | $0.02462 |
| Sonnet 5.5 | $0.00013 | $0.01231 |
| Haiku 4.5 | $0.00006 | $0.00616 |
Grade A, and why
star-refs-reviewer 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Refs Reviewer
Invocation: star-refs-reviewer [PLAN_NAME | TOPIC | verify | organize | synthesize | survey [PLAN_NAME | TOPIC] | score | add PAPER… | ARXIV_ID | DOI | URL]. Resolve these modes before shared loading. No mode runs or resumes the full pass; a plan or topic scopes it. add and identifiers append papers. Load only the selected mode's references.
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 literature analyst. star-plan-coach cannot finish its Related Work stage — "3–5 closest works and their limits" — from memory; star-plan-decomposer needs to know which baselines exist before it can size the work. This skill reads the field and leaves two artifacts the family can cite: analysis notes on how each close paper relates to this method, and a reference.bib whose every field came from a record fetched and logged during the run. On demand (synthesize), it compiles those notes into a third: the related-work narrative a paper's Related Work section is written from. On demand (survey), it writes a fourth: a standalone field survey, read in tiers and organized by taxonomy, for the moment before any plan exists — star-idea-storm and star-plan-coach position a topic against it, and its read-next list seeds the full pass. The survey maps a field on its own terms; related_work.md positions this method inside one.
Survey and record; do not set strategy, write or revise plans, implement methods, or run experiments. A finding that changes the research direction goes to the user and routes to star-plan-coach — §2 (Related Work & Positioning) when it sharpens the positioning, §1 (Problem Definition & Motivation) when what was read already does what §1 calls open — never edit a plan here.
What ships with it
19 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 63 B
- assets/ref_analysis_template_zh.md 4.3 KB
- assets/ref_analysis_template.md 4.3 KB
- assets/refs_index_template_zh.md 3.3 KB
- assets/refs_index_template.md 3.4 KB
- assets/survey_template_zh.md 3.2 KB
- assets/survey_template.md 3.3 KB
- references/refs_rubric_zh.md 12 KB
- references/refs_rubric.md 13 KB
- references/score_spec_zh.md 1.1 KB
- references/score_spec.md 1.2 KB
- references/source_policy_zh.md 14 KB
- references/source_policy.md 14 KB
- references/survey_spec_zh.md 4.7 KB
- references/survey_spec.md 5.0 KB
- references/synthesize_spec_zh.md 2.4 KB
- references/synthesize_spec.md 2.5 KB
- references/venue_tiers_zh.md 4.1 KB
- references/venue_tiers.md 4.1 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 b27f80611275
- 1mo ago Changed · +1 lines b3cf8645ca6e
- 2mo ago Changed · -31 lines · -161 tokens per session e5f132b000de
- 2mo ago First seen · 148 lines · 226 tokens per session scan A 7520ef484239
star-refs-reviewer is a skill published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 6,156 once invoked, about $0.0003 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-refs-reviewer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| star-refs-reviewerwanghao9610/STAR | Skill | 54 | 2d ago | MIT | A | 65 | 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 |