starling CLAUDE.md

Project-specific instructions for working on the Starling codebase with GitNexus, including required checks before editing and committing code.

In plain words
What is it for?
Use them when modifying Starling code to inspect a symbol's callers, explore related execution flows, assess the change's blast radius, and verify that only expected code paths changed.
Why use it?
They make code changes safer by requiring dependency analysis before edits and change detection before commits, while warning about high-risk effects.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/graycodeai/starling/claude-md
Clone the repo
git clone --depth 1 https://github.com/GrayCodeAI/starling
Per session 727 This file is loaded in full into every session.
When invoked 727 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 80% copy Near-identical to another mod 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 $0.00727 $0.00727
Opus 5 $0.00364 $0.00364
Sonnet 5 $0.00145 $0.00145
Haiku 4.5 $0.00073 $0.00073

Measured yesterday against content hash 8b164f5fab46, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

starling CLAUDE.md 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 yesterday.

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.

Origin

This is a copy

80% identical to tabularis AGENTS.md — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitNexus — Code Intelligence

This project is indexed by GitNexus as starling (210621 symbols, 225507 relationships, 136 execution flows). Use the GitNexus MCP tools to understand code, assess impact, and navigate safely.

Index stale? Run node .gitnexus/run.cjs analyze from the project root — it auto-selects an available runner. No .gitnexus/run.cjs yet? npx gitnexus analyze (npm 11 crash → npm i -g gitnexus; #1939).

Always Do

  • MUST run impact analysis before editing any symbol. Before modifying a function, class, or method, run impact({target: "symbolName", direction: "upstream"}) and report the blast radius (direct callers, affected processes, risk level) to the user.
  • MUST run detect_changes() before committing to verify your changes only affect expected symbols and execution flows. For regression review, compare against the default branch: detect_changes({scope: "compare", base_ref: "main"}).
  • MUST warn the user if impact analysis returns HIGH or CRITICAL risk before proceeding with edits.
  • When exploring unfamiliar code, use query({search_query: "concept"}) to find execution flows instead of grepping. It returns process-grouped results ranked by relevance.
  • When you need full context on a specific symbol — callers, callees, which execution flows it participates in — use context({name: "symbolName"}).
  • For security review, explain({target: "fileOrSymbol"}) lists taint findings (source→sink flows; needs analyze --pdg).

Never Do

  • NEVER edit a function, class, or method without first running impact on it.
  • NEVER ignore HIGH or CRITICAL risk warnings from impact analysis.
  • NEVER rename symbols with find-and-replace — use rename which understands the call graph.
  • NEVER commit changes without running detect_changes() to check affected scope.

Resources

Resource Use for
gitnexus://repo/starling/context Codebase overview, check index freshness
gitnexus://repo/starling/clusters All functional areas
gitnexus://repo/starling/processes All execution flows
gitnexus://repo/starling/process/{name} Step-by-step execution trace

Read the full file on GitHub · 45 lines

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. yesterday First seen · 45 lines · 727 tokens per session scan A 8b164f5fab46

Subscribe to this mod's changes

starling CLAUDE.md is an instructions file published in the GitHub repository GrayCodeAI/starling (2 stars, last pushed 2d ago), licensed MIT. It adds 727 tokens to every session, about $0.0036 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to tabularis AGENTS.md, differing in 21 lines, and is treated as a copy.