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 zacharygcook/agent-skills --skill design-human-first-cligit clone --depth 1 https://github.com/zacharygcook/agent-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/zacharygcook/agent-skills/design-human-first-cli)<a href="https://agentmods.dev/skills/zacharygcook/agent-skills/design-human-first-cli"><img src="https://agentmods.dev/badge/skills/zacharygcook/agent-skills/design-human-first-cli/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/zacharygcook/agent-skills/design-human-first-cli"><img src="https://agentmods.dev/badge/skills/zacharygcook/agent-skills/design-human-first-cli.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 | $0.00062 | $0.00808 |
| Opus 5.5 | $0.00025 | $0.00323 |
| Sonnet 5.5 | $0.00012 | $0.00162 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
design-human-first-cli 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Human-First CLI
Treat commands as product UI. Start with the interaction a human should remember, then do the engineering required to make that interaction real.
Design the target surface first
Write the ideal everyday vocabulary before editing implementation:
tool init
tool status
tool validate
tool run
tool resume
tool upgrade
Prefer short, stable verbs; consistent grammar; obvious help; and commands that fit comfortably in a terminal. A user should not need repository archaeology or shell history to operate the tool.
Separate humans from automation
- Human commands should be short, interactive, discoverable, and safe to rerun.
- Agent/CI commands may expose explicit flags, paths, structured output, and noninteractive controls.
- Keep the complete automation interface documented, but do not make it the main onboarding path.
- Provide
--json, exit codes, or equivalent machine contracts without degrading human output.
Remove unnecessary flags
- Detect facts the system can know: repository root, sole package/skill, installed harnesses, existing configuration, platform, and available prerequisites.
- Ask interactively for genuine operator choices: provider/harness, model, budgets, destructive behavior, validation commands, and ambiguous targets.
- Do not invent defaults for consequential choices merely to avoid a prompt.
- Do not ask users to repeat intent already expressed by invoking the command.
- Preserve explicit flags for automation and for users who want to bypass prompts.
Automate setup glue
- Make initialization and upgrades idempotent and preservation-first.
- Create or augment configuration without overwriting existing user content.
- Hide internal package paths, interpreter selection, file copies, symlinks, migrations, and adapter wiring behind the installer.
- Use a small bootstrap package or launcher when an upstream package manager cannot perform required lifecycle work; do not document manual glue as though it were a polished installation.
- Detect prerequisites and fail with the shortest actionable next step. Do not silently install system-wide dependencies or mutate external state without authorization.
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 First seen · 89 lines · 62 tokens per session scan A 7ba6ae25014e
design-human-first-cli is a skill published in the GitHub repository zacharygcook/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 808 once invoked, about $0.0002 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 2026-08-31.
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