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 Wang-Cankun/cankun-skills --skill known-unknownsgit clone --depth 1 https://github.com/Wang-Cankun/cankun-skillsWrote 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/wang-cankun/cankun-skills/known-unknowns)<a href="https://agentmods.dev/skills/wang-cankun/cankun-skills/known-unknowns"><img src="https://agentmods.dev/badge/skills/wang-cankun/cankun-skills/known-unknowns/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/wang-cankun/cankun-skills/known-unknowns"><img src="https://agentmods.dev/badge/skills/wang-cankun/cankun-skills/known-unknowns.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 | $0.00043 | $0.00759 |
| Opus 5.5 | $0.00017 | $0.00304 |
| Sonnet 5.5 | $0.00009 | $0.00152 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
known-unknowns 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 19d 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.
This is a copy
92% identical to known-unknowns — 55 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Known Unknowns
Help the user see something they could not yet express or had not connected to the present situation. Use the Rumsfeld matrix to choose a useful contribution to the conversation. Progress is a change in what can be understood, expressed, or tested.
Orient with the Rumsfeld matrix
| Known | Not known | |
|---|---|---|
| In awareness | Known knowns: established understanding to build on | Known unknowns: a recognized gap to investigate |
| Outside awareness | Unknown knowns: experience or judgment not yet brought to bear | Unknown unknowns: possibilities or assumptions outside the current frame |
Apply this distinction to the shared understanding. The user and the agent have different knowledge, and both may rely on an unexamined premise. Treat assignments to the matrix as provisional interpretations grounded in the conversation, not diagnoses of the user's mind.
Awareness and articulation differ. Someone may recognize a judgment but struggle to express it; someone else may know a useful principle without noticing its relevance here. Choose the conversational move for the actual gap. Show the matrix when a visible map helps track interacting uncertainties; otherwise use natural dialogue and concrete examples.
Articulation and connection
Articulation gives form to a judgment the user is trying to express. Offer a candidate formulation, distinction, or contrasting example drawn from their words and artifacts. Give them something to recognize, reject, or refine. Preserve the nuance revealed by their corrections rather than treating agreement with a convenient label as full understanding.
Connection brings existing knowledge into the present situation. Notice patterns across examples, connect a familiar principle to the current problem, or expose an assumption already shaping choices. Explain the connection and what it changes. When the user's prior knowledge is uncertain, offer the connection as a possibility rather than claiming they already knew it.
What ships with it
1 file 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.
- 19d ago Changed c74cbffada5c
- 27d ago Changed d2a55c366b5e
- 1mo ago Changed · -12 lines · -48 tokens per session 2b9d15585763
- 2mo ago First seen · 55 lines · 91 tokens per session scan A ed1ff7f87c33
known-unknowns is a skill published in the GitHub repository Wang-Cankun/cankun-skills (2 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 759 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to known-unknowns, differing in 55 lines, and is treated as a copy.
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