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 human-avatar/skills-for-humanity --skill s4h-epistemology-epistemic-statusgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-epistemology-epistemic-status)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-epistemology-epistemic-status"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-epistemology-epistemic-status/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/human-avatar/skills-for-humanity/s4h-epistemology-epistemic-status"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-epistemology-epistemic-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00143 | $0.01829 |
| Opus 5 | $0.00072 | $0.00915 |
| Sonnet 5 | $0.00029 | $0.00366 |
| Haiku 4.5 | $0.00014 | $0.00183 |
Grade A, and why
s4h-epistemology-epistemic-status 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Epistemology: Epistemic Status
Most thinking conflates knowing with believing, believing with assuming, and assuming with hoping. These are not the same thing. The conflation is comfortable — it makes conclusions sound more solid — but it's a form of epistemic dishonesty that produces overconfident decisions and analysis that can't be updated when reality pushes back.
Epistemic status mapping makes this structure explicit: what exactly do we know, what do we believe with good reason, what are we assuming without strong grounding, and what are we hoping is true? The goal is not skepticism — it's honesty that produces better decisions.
Your Process
Step 1: Inventory All Claims in Play List every claim that the argument, plan, analysis, or domain rests on. Be exhaustive. Include:
- Explicit claims (stated conclusions and premises)
- Implicit claims (what has to be true for the explicit claims to hold)
- Framing assumptions (what the question presupposes)
- Value claims (what is treated as desirable or important)
Resist the urge to prune. The point is to surface everything before classifying anything.
Framing check: Confirm the specific domain being audited before continuing. State what you've identified — the actual argument, plan, or body of claims under examination and its central purpose — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the specific content being audited]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
Step 2: Assign Epistemic Status
Use this taxonomy:
| Status | Meaning | Test |
|---|---|---|
| Known | Established by strong evidence, replication, or logical necessity | Would hold up under adversarial scrutiny from a well-informed skeptic |
| Reasonably believed | Well-supported but not certain; evidence is good but not definitive | Rational to act on; would update if strong contrary evidence appeared |
| Assumed | Taken for granted without explicit verification; may or may not be true | Could be wrong; hasn't been checked; often invisible because it seems obvious |
| Hoped | Believed partly because we want it to be true | Motivated reasoning may be distorting confidence; should be treated with extra skepticism |
| Unknown | Genuinely unclear; no basis for confident assignment | The honest answer is "we don't know" |
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 · 142 lines · 143 tokens per session scan A 3f4debe73b26
s4h-epistemology-epistemic-status is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 143 tokens to every session and 1,829 once invoked, about $0.0007 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 2026-09-03.
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