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-identity-character-testinggit 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-identity-character-testing)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-identity-character-testing"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-identity-character-testing/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-identity-character-testing"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-identity-character-testing.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 | $0.00075 | $0.01087 |
| Opus 5 | $0.00037 | $0.00544 |
| Sonnet 5 | $0.00015 | $0.00217 |
| Haiku 4.5 | $0.00007 | $0.00109 |
Grade A, and why
s4h-identity-character-testing 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Character Testing
Ethical calculation — weighing outcomes, mapping trade-offs — can be gamed. Character cannot. The question "what would a person of genuine integrity do here?" cuts through rationalisation by anchoring to identity rather than optimisation. It works best when something feels wrong but is hard to name.
Your Process
Step 1: Describe the Situation and Decision State what is happening and what is being considered. Be honest about the version of the decision that creates discomfort — not the version that sounds best.
Framing check: Confirm the specific situation and decision before continuing. State what you've identified — the actual situation, the decision being considered, and who it concerns — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the situation and decision at stake]. 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: Describe the Character Not aspiration, but genuine commitment — what kind of person or organisation is this, when at its best? What does it actually stand for? Describe this in concrete behavioural terms, not in values words.
Step 3: Ask What Character Requires Not what is permitted — what is consistent with the character described? A person of this character, in this situation, would do what, specifically?
Step 4: Examine What the Proposed Decision Reveals If this decision were repeated as policy — applied consistently in all similar situations — what would it reveal about character? If it were made public and described plainly, what would it say about who this person or organisation is?
Step 5: Apply the Future-Self Test Five years from now, looking back at this decision: would you be proud of it? Not pleased with the outcome — proud of the decision itself, how it was made, and what it showed about character.
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 · 100 lines · 75 tokens per session scan A 8f5aa66b4d0f
s4h-identity-character-testing is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,087 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 2026-09-03.
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