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-product-intentgit 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-product-intent)<a href="https://agentmods.dev/skills/iowarp/clio-kit/clio-kit-product-intent"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/clio-kit-product-intent/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-product-intent"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/clio-kit-product-intent.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 | $0.00083 | $0.02090 |
| Opus 5.5 | $0.00033 | $0.00836 |
| Sonnet 5.5 | $0.00017 | $0.00418 |
| Haiku 4.5 | $0.00008 | $0.00209 |
Grade A, and why
clio-kit-product-intent 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 — 169 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.
Product Intent
A PRD is intent: the problem and the hypothesis about solving it, in a form a
team can challenge before building and judge after shipping. Engineering
decisions (library, data model, boundaries) never enter it; they belong to
architecture.
Arguments
/skill clio-kit-product-intent <idea or problem, in a few sentences>
- The text is the raw idea, problem statement, or "just write it" request that starts Step 0. Reference docs (interviews, tickets, analytics, competitor notes) named or pathed in the request are evidence to read first, not more arguments.
- Nothing is required beyond some text; a blank invocation gets Step 0's own "What do you want to build? A few sentences." question.
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; calling it again will not produce a different result. Treat the
first refusal exactly like the user saying "just write it" (see "If
the user declines the interview" below), and apply that treatment from
wherever it happened onward — Step 0's evidence check included, not just
the five clusters: state the question, your best evidence-grounded answer
(or, absent evidence, the most defensible product default) and the
reasoning, mark it assumed — confirm, and move to the next step. Never
invent evidence to back an assumption; one with nothing behind it stays an
open question, not a fact.
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 · 169 lines · 83 tokens per session scan A ecd80fd78e1e
clio-kit-product-intent is a skill published in the GitHub repository iowarp/clio-kit (30 stars, last pushed 8d ago), licensed BSD-3-Clause. It adds 83 tokens to every session and 2,090 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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