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 bearded-illirian/trailmark --skill human-firstgit clone --depth 1 https://github.com/bearded-illirian/trailmarkWrote 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/bearded-illirian/trailmark/human-first)<a href="https://agentmods.dev/skills/bearded-illirian/trailmark/human-first"><img src="https://agentmods.dev/badge/skills/bearded-illirian/trailmark/human-first/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/bearded-illirian/trailmark/human-first"><img src="https://agentmods.dev/badge/skills/bearded-illirian/trailmark/human-first.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 | $0.00072 | $0.00903 |
| Opus 5.5 | $0.00029 | $0.00361 |
| Sonnet 5.5 | $0.00014 | $0.00181 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
human-first 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 1mo 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.
Human-First Protocol
Explains the agent's last message in plain language with examples.
Input
The agent's most recent chat message that the user found unclear or too technical.
Output
A simplified explanation of that message in plain language with concrete examples and analogies, printed to chat.
Hands off to
— (terminal).
Step 1 — Find the last message
Take the agent's message that stands immediately before the /human-first command in the current conversation.
If no such message exists:
No previous message found to explain.
Type /human-first right after my reply.
End execution.
Step 2 — Extract key ideas
Extract 1-3 main ideas — what the agent was trying to say in essence. Don't retell structure or details — only the point.
Short message with one thought → explain the one. Long message → pick the most important, drop the rest.
Step 3 — Explain each idea
For each idea — three elements:
What it is — one sentence, no technical terms. If a term is unavoidable — explain it in parentheses in one word.
Why it's needed — one sentence. Which problem it solves, what would be missing without it.
For example — a concrete example from real life, not from code. Start with "Imagine that..." or "For example, like..."
Explanation rules
- Speak like to a friend, not like documentation
- Short sentences — max 15-20 words
- If original had 5 items → explain 2-3 most important, not all
- Don't add new information that wasn't in the original
- Don't make the explanation longer than the original
Step 4 — Output the explanation
Output format:
In plain language:
**{Idea 1 — short name}**
What: {one sentence}
Why: {one sentence}
For example: {life analogy}
**{Idea 2}** (if any)
...
If something else is unclear — ask specifically.
The last line — always. Invites clarification without extra pressure.
Anti-patterns
❌ Retell technically — only in different words
Original: "add an index on the column to speed up queries". Bad: "create an index so SELECT works faster". Good: "make a book index — so the database doesn't flip through all records, but opens the right page immediately".
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.
- 1mo ago Changed f17e13c2c540
- 1mo ago First seen · 142 lines · 72 tokens per session scan A d9bb1eca4c87
human-first is a skill published in the GitHub repository bearded-illirian/trailmark (19 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 903 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 2026-08-30.
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