agentify-project

A procedure for preparing a project for AI-assisted software development with a shared, agent-neutral structure. It organizes guidance into a small AGENTS.md index, reusable skills, and supporting files.

In plain words
What is it for?
Use it to audit or converge a repository toward the recommended structure, including projects inside a larger repository.
Why use it?
It reveals and reduces differences in how various coding agents are configured, while keeping detailed instructions available when needed.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/eai-org/agent-toolkit/agentify-project
Any agent
npx skills add eai-org/agent-toolkit --skill agentify-project
Clone the repo
git clone --depth 1 https://github.com/eai-org/agent-toolkit

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,574 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.01574
Opus 5 $0.00026 $0.00787
Sonnet 5 $0.00010 $0.00315
Haiku 4.5 $0.00005 $0.00157

Measured 2d ago against content hash 0625d5b532e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentify-project 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 2d 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.

skills/agentify-project/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentify project

Converge a project — greenfield or half-way-there — toward the canonical agent-neutral structure specified in references/target-structure.md (read it before the audit), so a team of developers using different agents shares one lean, progressively disclosed setup. Re-running converges further and reports drift.

Invocation: /agentify-project [audit] [path]

  • audit — run step 1 only, print the findings and what a full run would change, modify nothing; the periodic drift check.
  • path — target a subdirectory instead of the repo root (see Monorepos).

Principles

  • Ask, don't enforce: prefer asking — all options shown, one recommended — over enforcing a choice, except for obvious easy wins (e.g. clear progressive-disclosure moves). Questions answerable from the codebase go to the codebase.
  • One approval gate per destructive/bulk change; show diffs or proposals before applying; nothing happens behind the user's back. Never commit — suggest reviewing the diff and leave committing to the user.
  • Generic: behavior is driven by references/agent-matrix.md — read it whenever agent detection or an agent's specifics are needed. One documented exception, the Claude carve-out: a team with no Claude users at all is rare, so Claude wiring (the CLAUDE.md pointer, the .claude/skills/ links, the Claude gitignore entries) is applied unconditionally, never detection-gated.

1. Audit (read-only)

  • Detect each target-structure area's state, and which agents are in use by their traces (matrix).
  • Warn — never block — if the git working tree is dirty, so the user can commit first and keep the restructure reviewable as an isolated diff.
  • Detect nested entry files (monorepo packages).
  • Diff duplicated entry files (agents without include syntax) against AGENTS.md; divergence becomes a re-sync menu item — the one artifact class guaranteed to drift.
  • Detect Claude-only assets (.claude/commands/, .claude/agents/, .claude/rules/): report, leave. Flag .claude/rules/ content as candidate governing-doc material (path-scoped rules are a Claude-specific disclosure mechanism); legacy commands may get a one-off note that they could become skills — the conversion itself is out of scope.
  • Record entry-file line counts: menu annotations now, coarse before-figure for /context-checkup later.

Read the full file on GitHub · 123 lines

Files

What ships with it

2 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.

Changes

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.

  1. 2d ago First seen · 123 lines · 51 tokens per session scan A 0625d5b532e8

Subscribe to this mod's changes

agentify-project is a skill published in the GitHub repository eai-org/agent-toolkit (43 stars, last pushed 12d ago), licensed MIT. It adds 51 tokens to every session and 1,574 once invoked, about $0.0003 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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