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 agentmods add skills/techwolf-ai/ai-first-toolkit/ai-firstifynpx skills add techwolf-ai/ai-first-toolkit --skill ai-firstifygit clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkitWrote 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/techwolf-ai/ai-first-toolkit/ai-firstify)<a href="https://agentmods.dev/skills/techwolf-ai/ai-first-toolkit/ai-firstify"><img src="https://agentmods.dev/badge/skills/techwolf-ai/ai-first-toolkit/ai-firstify.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.00573 |
| Opus 5 | $0.00044 | $0.00287 |
| Sonnet 5 | $0.00017 | $0.00115 |
| Haiku 4.5 | $0.00009 | $0.00057 |
Grade A, and why
ai-firstify 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 4d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Firstify
Analyze and re-engineer projects to align with AI-first design principles.
Trigger
Use this skill when asked to:
- Audit mode (read-only): "review", "audit", "analyze", "check", "assess"
- Re-Engineer mode (active changes): "ai-firstify", "fix", "improve", "re-engineer", "transform"
- Bootstrap mode (new project): "start", "new project", "bootstrap", "set up", "build from scratch"
Mode 1: Audit (Read-Only Analysis)
Perform a comprehensive read-only analysis across 7 dimensions. Output a scored report with recommendations. Do NOT modify any files.
Read references/mode-audit.md for the full audit procedure and dimension checklist.
Mode 2: Re-Engineer (Active Transformation)
First, perform the full audit (Mode 1). Then actively fix issues in 7 phases: foundation, de-agentification, skill extraction, complexity reduction, context hygiene, safety hardening, workflow optimization.
Read references/mode-reengineer.md for the full re-engineering procedure.
Mode 3: Bootstrap (New Project Setup)
Guide the user through setting up a new AI-first project from scratch. Interactive: ask discovery questions, recommend architecture, scaffold, and test.
Read references/mode-bootstrap.md for the full bootstrap procedure.
Reference Files
Domain knowledge (load on demand per dimension):
- references/principles.md: All 9 AI-first design principles in depth
- references/patterns.md: All 7 design patterns with implementation guidance
- references/anti-patterns.md: Common mistakes with detection patterns and fixes
- references/skill-architecture.md: How to structure skills, sub-agents, and workflows
- references/project-structure.md: Ideal project layouts, CLAUDE.md templates, .gitignore
- references/assessment-rubric.md: Scoring criteria and report template
Load the relevant reference file for the dimension you are currently analyzing. Do not load all references at once. Use progressive disclosure.
What ships with it
10 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.
- references/anti-patterns.md 9.2 KB
- references/assessment-rubric.md 7.4 KB
- references/mode-audit.md 3.1 KB
- references/mode-bootstrap.md 4.1 KB
- references/mode-reengineer.md 2.6 KB
- references/patterns.md 7.9 KB
- references/principles.md 11 KB
- references/project-structure.md 4.0 KB
- references/skill-architecture.md 6.0 KB
- scripts/validate-report.sh 1.7 KB runs code
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.
- 4d ago First seen · 51 lines · 87 tokens per session scan A 59d294be1ae6
ai-firstify is a skill published in the GitHub repository techwolf-ai/ai-first-toolkit (98 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 573 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 2026-08-30.
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