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/commands/chadixearth/graphyloop/chadi-db)<a href="https://agentmods.dev/commands/chadixearth/graphyloop/chadi-db"><img src="https://agentmods.dev/badge/commands/chadixearth/graphyloop/chadi-db/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/commands/chadixearth/graphyloop/chadi-db"><img src="https://agentmods.dev/badge/commands/chadixearth/graphyloop/chadi-db.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 | $0.00022 | $0.00191 |
| Opus 5.5 | $0.00009 | $0.00076 |
| Sonnet 5.5 | $0.00004 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
chadi-db 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 today.
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
Use agent-chadi. Database setup lane (tool names are bare; OpenCode prefixes graphyloop_, Claude Code mcp__graphyloop__). 1) secrets_status to see which Supabase keys exist — never ask the user to paste a key into the chat; if one is missing, tell them the exact key name and where to get it, then store it with secrets_set. 2) env_sync so the app reads real credentials from its own env file. 3) preflight target=db and clear every blocker. 4) Write schema changes as migration files (never dashboard-only edits), with RLS policies and indexes. 5) Run the dry-run step and show its SQL BEFORE any apply; the apply step needs explicit user approval and a rollback note. Never print a credential value.
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.
- today First seen · 6 lines · 22 tokens per session scan A 2e6c3270e584
chadi-db is a command published in the GitHub repository chadixearth/graphyloop (3 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 191 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 2026-10-29.
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