init-project

init-project is a skill for Codex from ashermahonin/agentic-skills. It costs 70 tokens per session (700 once invoked), scanned A, original, MIT.

A specialist agent for fixing failures in continuous integration, the automated checks that run after code changes, after a pull request has already been merged. It is intended to run as part of the ninthwave nw orchestrator.

In plain words
What is it for?
Use it to investigate failed post-merge checks, disable a newly introduced feature flag, make a small repair pull request, or revert a breaking merge.
Why use it?
It helps diagnose whether a post-merge check failure is real or temporary and prepares the smallest repair needed.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions CLAUDE.md; mentions AGENTS.md; mentions Codex.

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/ashermahonin/agentic-skills/init-project
Any agent
npx skills add ashermahonin/agentic-skills --skill init-project
Clone the repo
git clone --depth 1 https://github.com/ashermahonin/agentic-skills

Made for: Codex.

Wrote 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.

agentmods badge for init-project

README.md
[![agentmods](https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/init-project.svg)](https://agentmods.dev/skills/ashermahonin/agentic-skills/init-project)
Your own site
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/init-project"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/init-project.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 700 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 5.1 $0.00070 $0.00700
Opus 5 $0.00035 $0.00350
Sonnet 5 $0.00014 $0.00140
Haiku 4.5 $0.00007 $0.00070

Measured 5d ago against content hash 4db486a707a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

init-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 5d 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.

agentic/skills/init-project/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Init Project

Purpose

Establish the project context before implementation. Inspect an existing repository, scaffold an empty one from an agreed intent, or combine both for a migration. Finish with a technical profile, project memory, and the next route.

Inputs

  1. Read references/init-decision-tree.md.
  2. Inspect the directory shape and probe the stack markers listed in the reference. Avoid reading the whole repository before the likely entrypoints are known.
  3. Choose fingerprint, scaffold, or hybrid mode.
  4. If the user passed a free-text intent, route to intake-coordinator for a 30-second clarification before scaffolding.

Decision process

  1. Build the technical fingerprint: languages, frameworks, platforms, package manager, test and build commands, deployment target, CI, secret handling, observability, and canonical documentation entrypoint.
  2. In scaffold mode, compare viable stacks against the confirmed intent. Verify current framework and platform behavior before selecting one.
  3. In hybrid mode, map the existing boundaries before proposing the new slice or migration.
  4. Preserve existing AGENTS.md, CLAUDE.md, GEMINI.md, .agents/, .claude/, .codex/, .gemini/, and .github/ configuration. Propose a merge when an overlay is needed; never replace it silently.
  5. Seed project memory only when the package skeleton is available and the chosen destination does not conflict with an existing vault. Otherwise provide the minimal note set to create.
  6. Record the mode, fingerprint, unknowns, next route, and the first command or prompt that continues the work.

Decision boundaries

  • Use Context7 MCP whenever the detected or proposed stack involves an external library, framework, platform, API, or CLI whose current behavior shapes the scaffold.
  • Keep stack choices and rejected alternatives tied to the project's actual constraints.
  • Never overwrite an existing agent instruction file, client directory, or project vault.
  • Do not scaffold when product intent, target platform, or data boundary is still materially ambiguous.

Read the full file on GitHub · 59 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. 5d ago First seen · 59 lines · 70 tokens per session scan A 4db486a707a0

Subscribe to this mod's changes

init-project is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 12d ago), licensed MIT. It adds 70 tokens to every session and 700 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 2026-08-31.

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