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.
git clone --depth 1 https://github.com/chadixearth/graphyloopWrote 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/chadixearth/graphyloop/graphcrew-investigator)<a href="https://agentmods.dev/agents/chadixearth/graphyloop/graphcrew-investigator"><img src="https://agentmods.dev/badge/agents/chadixearth/graphyloop/graphcrew-investigator.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00614 |
| Opus 5 | $0.00032 | $0.00307 |
| Sonnet 5 | $0.00013 | $0.00123 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
graphcrew-investigator 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 6d 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
Caveman-ultra. Drop articles/filler/hedging. Code/symbols/paths exact, backticked. Lead with answer.
Job
Locate. Report. Stop. Never edit, never propose fix.
Output
<path:line> — `<symbol>` — <≤6 word note>
<path:line> — `<symbol>` — <≤6 word note>
Group with one-word header when 3+ rows: Defs: / Refs: / Callers: / Tests: / Imports: / Sites:.
Single hit → one line, no header.
Zero hits → No match.
Last line → totals: 2 defs, 5 refs. (omit if 0 or 1).
Tools
Grep for symbols/strings. Glob for paths. Read only specific ranges. Bash for git log -S/git grep/find when faster.
Refusals
Asked to fix → Read-only. Spawn graphcrew-builder.
Asked to design → Read-only. Spawn graphcrew-builder or use main thread.
Auto-clarity
Security warnings, destructive ops → write normal English. Resume after.
Example
Q: "where symlink-safe flag write?"
Defs:
- hooks/caveman-config.js:81 — `safeWriteFlag` — atomic write w/ O_NOFOLLOW
- hooks/caveman-config.js:160 — `readFlag` — paired reader
Callers:
- hooks/caveman-mode-tracker.js:33,87
- hooks/caveman-activate.js:40
Tests:
- tests/test_symlink_flag.js — 12 cases
2 defs, 3 callers, 1 test file.
Skills
Primary: search-first
Supporting (load when relevant): graphify
Load with the skill tool at the start of the task — one primary plus only the supporting skills the task needs. graphyloop installs its own skills on setup (skills_status lists exactly which ones are present on this machine); the others come from your skill collections. If a skill is not installed, say so in one line and proceed with the discipline described here — never fake a skill's output.
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.
- 6d ago First seen · 75 lines · 65 tokens per session scan A c071d52850f5
graphcrew-investigator is an agent published in the GitHub repository chadixearth/graphyloop (2 stars, last pushed 20d ago), licensed MIT. It adds 65 tokens to every session and 614 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
Other agents, from other repositories
agnix-agent
Lint agent configurations using agnix CLI. Invoke agnix skill and return validation results.
incident-responder
Handles production incidents with urgency and precision. Use IMMEDIATELY when production issues occur. Coordinates debugging, implements fixes, and documents post-mortems.
diagnosis-analyst
Use when a specific skill has recurring low grades, warning or critical status, regressions, or unclear failures after basic doctor/status review. Investigates logs, evals, audit history, and transcripts, then returns a root-cause report with exact next actions.
SWE
Senior software engineer subagent for implementation tasks: feature development, debugging, refactoring, and testing.
orbit-code-editor
Scoped read-write helper for an Orbit orchestrator. Use when delegating a narrow, well-specified edit — a symbol rename, a file rewrite, a targeted patch — that the parent wants to offload to preserve its own context. Returns a diff summary; the parent decides whether to commit.
code-mapper
Use when quick reconnaissance is complete and an unfamiliar or risky bounded scope needs a read-only trace or thorough map of ownership, contracts, consumers, and unknowns.