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.
npx skills add iowarp/clio-kit --skill clio-kit-grill-megit clone --depth 1 https://github.com/iowarp/clio-kitWrote 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/skills/iowarp/clio-kit/clio-kit-grill-me)<a href="https://agentmods.dev/skills/iowarp/clio-kit/clio-kit-grill-me"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/clio-kit-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/skills/iowarp/clio-kit/clio-kit-grill-me"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/clio-kit-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 | $0.00074 | $0.02839 |
| Opus 5.5 | $0.00030 | $0.01136 |
| Sonnet 5.5 | $0.00015 | $0.00568 |
| Haiku 4.5 | $0.00007 | $0.00284 |
Grade A, and why
clio-kit-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.
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Host compatibility
This copy is adapted from Clio Coder. Apply the procedure using the current host's available tools and the user's authorized scope. The tool names, /skill invocations, .clio-coder paths, fleets, approval gates and completion gates below describe Clio Coder; they are not installed or enforced by this skill in another host. Use the host's actual skill invocation and equivalent tools. If no equivalent exists, report the missing capability. Do not assume a tool is unavailable merely because the original headless workflow says so. A referenced agent or skill must be installed before relying on it. Scientific MCPs must be configured separately.
Adapted skills use the clio-kit- prefix to distinguish them from upstream audited skills. For a companion skill named below, select its clio-kit- copy from this collection; native agents, fleets and external programs retain their original names.
Grill Me
Run a rigorous, repo-aware interview that turns a vague plan into explicit decisions. The point is not to interrogate for sport; it is to surface hidden branches before anyone writes code.
Arguments
grill me on <plan, feature, or idea>
There is no flag syntax; the trigger is conversational — "grill me on X", "stress-test this design", "poke holes in this idea". Whatever the user names is the subject. A referenced file, doc, or repo path in the same request is Step 1's grounding to read first, not a separate argument.
This run has no back-and-forth. There is no second turn in which a user
reads your question and replies to it — whatever you ask, you must also
answer yourself, in this same turn, before it ends. Do not write a question
and stop to wait for a reply, in ask_user or in plain chat text; nothing
is coming. Ending the turn on an open question — even one question, even a
well-posed one — is this skill's single most common failure and worse than
skipping the interview format entirely.
There is no operator in a headless run: ask_user is not registered, so
any call is refused as an unregistered tool rather than answered, every
time, with no exceptions. Calling it again will not produce a different
result, so one call is enough to confirm it (not required: reasoning from
this paragraph alone is just as valid as calling it and observing the
refusal). Whichever phase this lands in — even round
1 — switch immediately to the assumed-confirm monologue for every phase
from here on, in the same turn: state the question you would have asked,
give your own best/recommended answer with the reasoning behind it, mark
it assumed — confirm, and move to the next phase. Do not re-call
ask_user hoping a later round behaves differently — that only burns the
max_rounds budget without ever converging. Keep working the phase map,
phase by phase, all the way through Step 5's decision log before ending
the turn — never end on "Answer 1/2/3" or any other place a reply is
expected.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 265 lines · 74 tokens per session scan A fb142d44ba09
clio-kit-grill-me is a skill published in the GitHub repository iowarp/clio-kit (30 stars, last pushed 8d ago), licensed BSD-3-Clause. It adds 74 tokens to every session and 2,839 once invoked, about $0.0003 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 2026-10-08.
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