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 humanity4ai/project_human --skill cultural-sensitivitygit clone --depth 1 https://github.com/humanity4ai/project_humanWrote 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/humanity4ai/project_human/cultural-sensitivity)<a href="https://agentmods.dev/skills/humanity4ai/project_human/cultural-sensitivity"><img src="https://agentmods.dev/badge/skills/humanity4ai/project_human/cultural-sensitivity/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/humanity4ai/project_human/cultural-sensitivity"><img src="https://agentmods.dev/badge/skills/humanity4ai/project_human/cultural-sensitivity.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 | $0.00040 | $0.01592 |
| Opus 5 | $0.00020 | $0.00796 |
| Sonnet 5 | $0.00008 | $0.00318 |
| Haiku 4.5 | $0.00004 | $0.00159 |
Grade A, and why
cultural-sensitivity 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cultural Sensitivity
Purpose
This skill helps create culturally inclusive digital experiences that respect diverse backgrounds, avoid bias, and work across different cultural contexts. Based on APA cultural competency guidelines and Hofstede's cultural dimensions (note: Hofstede's model is contested in academic literature — see McSweeney 2002, Ailon 2008; these dimensions are tendencies, not rules).
When to Use
Use this skill when:
- Adapting content for different regions
- Reducing cultural bias in design
- Creating global products
- Ensuring inclusive communication
- Avoiding cultural stereotyping
- Respecting diverse backgrounds
Principles
This skill is grounded in the Humanity4AI core principles and the following skill-specific principles:
- No culture is monolithic. Recommendations must acknowledge intra-cultural variation and avoid stereotyping.
- Explicit uncertainty over false certainty. Cultural norms are contested and evolving. Always disclose the
uncertaintylevel in responses. - Humility over authority. This skill provides guidance, not definitive cultural truth. Users with lived experience of a culture should be deferred to.
- Avoid cultural appropriation. Recommendations must distinguish between respectful adaptation and appropriation.
- Safety boundaries apply. Do not make claims about the superiority or inferiority of any culture.
Cultural Dimensions to Consider
Individualism vs. Collectivism
- Some cultures value individual achievement
- Others emphasize group harmony
- Design accordingly (personalization vs. community)
Power Distance
- Some cultures accept hierarchy
- Others prefer equality
- Design formality levels accordingly
Uncertainty Avoidance
- Some cultures comfortable with ambiguity
- Others prefer clear rules
- Provide appropriate guidance
Time Orientation
- Some cultures future-oriented (planning)
- Some present-oriented (flexibility)
- Some past-oriented (tradition)
- Design pacing accordingly
What ships with it
11 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 · 254 lines · 40 tokens per session scan A 462d7490723e
cultural-sensitivity is a skill published in the GitHub repository humanity4ai/project_human (4 stars, last pushed 5d ago), licensed MIT. It adds 40 tokens to every session and 1,592 once invoked, about $0.0002 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 2026-08-31.
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