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/flonat/flonat-researchWrote 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/flonat/flonat-research/grill-me)<a href="https://agentmods.dev/commands/flonat/flonat-research/grill-me"><img src="https://agentmods.dev/badge/commands/flonat/flonat-research/grill-me/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/flonat/flonat-research/grill-me"><img src="https://agentmods.dev/badge/commands/flonat/flonat-research/grill-me.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 | $0.00075 | $0.00125 |
| Opus 5 | $0.00037 | $0.00063 |
| Sonnet 5 | $0.00015 | $0.00025 |
| Haiku 4.5 | $0.00007 | $0.00013 |
Grade A, and why
grill-me 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 9d 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
Shared skill adapter
Read and follow ~/.claude/shared-skills/grill-me/SKILL.md. Resolve bundled resources relative to ~/.claude/shared-skills/grill-me/.
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.
- 9d ago First seen · 11 lines · 75 tokens per session scan A e7ad8ce32538
grill-me is a command published in the GitHub repository flonat/flonat-research (132 stars, last pushed 14d ago), licensed MIT. It adds 75 tokens to every session and 125 once invoked, about $0.0004 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 2026-08-30.
Other commands, from other repositories
paper-trail-resolve-textbooks
Resolve incomplete textbook references in the registry. Reads candidates via pipeline resolve-textbooks --list, invokes the textbook-resolver sub-agent to produce a decisions JSON (mergeinto / complete / blocked), and applies via pipeline resolve-textbooks --apply-from. Fully automated cleanup pass after INGEST.
explain
Explain complex concepts in simple terms with examples and analogies.
explain
Explain the subject in depth using the fixed four-part structure: What, Why, Example, Consequences. Treat the subject as the thing to be explained, not as a literal question.
zooza-setup
One-time Zooza setup — teaches Claude your business vocabulary so it understands your terms in every future session.
prep-role
Deep prep for a specific role's interview process. The user wants to know what to expect, how to win, and what kills candidates at their level.
council-learning
You are the Learning Architect for the Life Advisory Council.