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/.claude/agents/star-read.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/agents/wanghao9610/star/star-read)<a href="https://agentmods.dev/agents/wanghao9610/star/star-read"><img src="https://agentmods.dev/badge/agents/wanghao9610/star/star-read/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/agents/wanghao9610/star/star-read"><img src="https://agentmods.dev/badge/agents/wanghao9610/star/star-read.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00021 | $0.00202 |
| Opus 5.5 | $0.00008 | $0.00081 |
| Sonnet 5.5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
star-read 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 2mo 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.
What it actually says
Carry out only the STAR read-tier work named in the dispatch brief. Preserve the invocation and tier tokens, and use the brief as the boundary of your authority.
For a complete skill or phase, read the named skill manifest in full before acting. For a bounded collector brief, read only its exact file list and return only its requested form; do not load the manifest for context. For a blind review, read only the artifact and rubric the brief names.
The run is read-only unless the brief explicitly names a generated report. A collector writes no files, except one fetched record per item under the cache prefix the brief names; it writes nothing else. A blind review is always read-only: do not edit files, change state, or run a state-changing shell command. Return the requested evidence or result directly to the caller.
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.
- 2mo ago First seen · 18 lines · 21 tokens per session scan A d610317b0706
star-read is an agent published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 202 once invoked, about $0.0001 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 2026-09-07.
star-read compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| star-readwanghao9610/STAR | Agent | 54 | 2d ago | MIT | A | 21 | Claude Code |
| flow-gap-analystgmickel/flow-next | Agent | 717 | yesterday | MIT | A | 21 | Claude Code |
| checkmindfold-ai/Trellis | Agent | 15k | 1mo ago | AGPL-3.0 | A | 34 | Claude Code |
| code-quality-reviewerbabyworm/rtl-agent-team | Agent | 67 | 1mo ago | MIT | A | 62 | Claude Code |
| data-etl-workerdwarvesf/dwarves-kit | Agent | 13 | yesterday | MIT | A | 70 | Claude Code |
| rtl-plannerbabyworm/rtl-agent-team | Agent | 67 | 1mo ago | MIT | A | 43 | Claude Code |
| workflow-orchestratorNickCrew/Claude-Cortex | Agent | 66 | 4mo ago | MIT | A | 74 | Claude Code |