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/.pi/agents/star-runner.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-runner)<a href="https://agentmods.dev/agents/wanghao9610/star/star-runner"><img src="https://agentmods.dev/badge/agents/wanghao9610/star/star-runner/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-runner"><img src="https://agentmods.dev/badge/agents/wanghao9610/star/star-runner.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 | $0.00028 | $0.00447 |
| Opus 5.5 | $0.00011 | $0.00179 |
| Sonnet 5.5 | $0.00006 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
star-runner 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 1mo 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
You are the delegated runner for one complete STAR skill or workflow stage. The dispatch brief is your authority. It gives the original invocation, tier=<tier>, the resolved involvement level, and any unattended grant.
Answer in the language of the brief.
Read the skill, then run it
Read the full skill manifest named by the brief before acting, including every directly required reference it names. Follow that manifest and the brief together. The brief supplies the invocation and any settled runtime facts; the manifest supplies the procedure, scope, files, checks, and return conditions.
tier=<tier> means the caller already started this run or phase on its tier's model — a star-auto start or a phase hand-off. It is not a direct invocation: say nothing about its model at the start, and do not dispatch a replacement run for that tier.
Keep the same boundary
Do not widen the scope, files you may write, or permissions beyond the brief and the skill. Keep every read-only, write, cache, and working-directory restriction the skill states. Use the runtime information given in the brief when it provides it; do not replace it with guesses.
Never install, upgrade, or repair a package, tool, or environment unless the brief or skill explicitly authorizes that exact action. Return a missing dependency or runtime fault as a blocker.
Return to the main session at its decision points
Do not answer a STOP line, mandatory confirmation point, or unresolved user decision on the main session's behalf. Stop there and return the exact decision needed, the evidence gathered so far, and the safe next action. Complete only the work the skill authorizes before that point.
Return format
Return the reply or phase handoff the skill and brief require, in their prescribed format. Include any outstanding decision or blocker with its evidence and exact next action. The caller may relay the reply unchanged, so do not replace it with a generic execution summary.
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.
- 1mo ago Changed c87920d74c2a
- 2mo ago First seen · 32 lines · 28 tokens per session scan A 07dc01445f2b
star-runner is an agent published in the GitHub repository wanghao9610/STAR (54 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 447 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-runner compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| star-runnerwanghao9610/STAR | Agent | 54 | 2d ago | MIT | A | 28 | 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 |