STAR: Agent for Claude Code

.pi/agents/star-runner.md

star-runner is an agent for Claude Code from wanghao9610/STAR. It costs 28 tokens per session (447 once invoked), scanned A, original, MIT.

A delegated STAR workflow runner that executes one complete skill or workflow stage under a dispatch brief. It reads the named skill instructions and obeys their scope, stop points, and file permissions.

In plain words
What is it for?
Use it to run an approved STAR skill or stage while preserving its read, write, cache, and working-directory restrictions.
Why use it?
It gives delegated work a fixed authority boundary and prevents it from widening the task, changing permissions, or applying unrelated model-routing rules.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

This is wanghao9610/STAR's own configuration. It tells Claude Code how to work on STAR itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything STAR configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/wanghao9610/STAR/main/.pi/agents/star-runner.md
Clone the repo
git clone --depth 1 https://github.com/wanghao9610/STAR

Made for: Claude Code.

Wrote 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.

agentmods badge for star-runner

README.md
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Your own site
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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.

agentmods 80×15 button for star-runner

Your own site · 80×15
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Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 447 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash c87920d74c2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.pi/agents/star-runner.md · 32 lines

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.

Changes

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.

  1. 1mo ago Changed c87920d74c2a
  2. 2mo ago First seen · 32 lines · 28 tokens per session scan A 07dc01445f2b

Subscribe to this mod's changes

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.

Related

star-runner compared with agents from other repositories

star-runner next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
star-runnerwanghao9610/STARAgent542d agoMITA28Claude Code
flow-gap-analystgmickel/flow-nextAgent717yesterdayMITA21Claude Code
checkmindfold-ai/TrellisAgent15k1mo agoAGPL-3.0A34Claude Code
code-quality-reviewerbabyworm/rtl-agent-teamAgent671mo agoMITA62Claude Code
data-etl-workerdwarvesf/dwarves-kitAgent13yesterdayMITA70Claude Code
rtl-plannerbabyworm/rtl-agent-teamAgent671mo agoMITA43Claude Code
workflow-orchestratorNickCrew/Claude-CortexAgent664mo agoMITA74Claude Code