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-research)<a href="https://agentmods.dev/commands/chadixearth/graphyloop/chadi-research"><img src="https://agentmods.dev/badge/commands/chadixearth/graphyloop/chadi-research/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-research"><img src="https://agentmods.dev/badge/commands/chadixearth/graphyloop/chadi-research.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 | $0.00013 | $0.00089 |
| Opus 5.5 | $0.00005 | $0.00036 |
| Sonnet 5.5 | $0.00003 | $0.00018 |
| Haiku 4.5 | $0.00001 | $0.00009 |
Grade A, and why
chadi-research 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. Use the installed last30days skill as source-of-truth for fresh public internet research. Research the user's topic from the last 30 days, then answer with a grounded summary and cite/summarize the evidence. If last30days is missing or fails, report that and use the closest available fallback (official docs, web fetch).
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 · 13 tokens per session scan A 752fc3e0464e
chadi-research is a command published in the GitHub repository chadixearth/graphyloop (3 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 89 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.
Other commands, from other repositories
handoff
Produce a structured handoff note for the current session.
retro
End-of-session retrospective - what worked, what to codify.
todo-triage
Sort TODO.md into Now / Soon / Parking lot with success criteria.
council
Run a persona council review with parallel subagents.
review
Review recent changes through the Code Reviewer and QA lenses.
drift-check
Run the agent doc alignment check.