fallow-codex-onboarding

fallow-codex-onboarding is a skill for Claude Code, Codex from fallow-rs/fallow-skills. It costs 109 tokens per session (740 once invoked), scanned A, original, MIT.

A setup procedure for the Fallow code-analysis app in Codex, including choosing its analysis scope, running the first analysis, and locating its dashboard and settings.

In plain words
What is it for?
It is for setting up Fallow, choosing whole-project or changed-file analysis, and finding code-health results, mentions, and configuration.
Why use it?
It guides the initial configuration instead of leaving the user to discover the app's controls and analysis options alone.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Codex.

Part of the fallow plugin — 4 skills, 1 command, 1 hook shipped together

Good fit It is for setting up Fallow, choosing whole-project or changed-file analysis, and finding code-health results, mentions, and configuration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fallow-rs/fallow-skills/fallow-codex-onboarding
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.

Any agent
npx skills add fallow-rs/fallow-skills --skill fallow-codex-onboarding
Clone the repo
git clone --depth 1 https://github.com/fallow-rs/fallow-skills

Made for: Claude Code, Codex.

Or install fallow, the plugin that ships this one along with the rest of its 4 skills, 1 command, 1 hook.

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 fallow-codex-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/fallow-rs/fallow-skills/fallow-codex-onboarding/github.svg)](https://agentmods.dev/skills/fallow-rs/fallow-skills/fallow-codex-onboarding)
Your own site
<a href="https://agentmods.dev/skills/fallow-rs/fallow-skills/fallow-codex-onboarding"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow-skills/fallow-codex-onboarding/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.

agentmods 80×15 button for fallow-codex-onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/fallow-rs/fallow-skills/fallow-codex-onboarding"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow-skills/fallow-codex-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 740 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00109 $0.00740
Opus 5.5 $0.00044 $0.00296
Sonnet 5.5 $0.00022 $0.00148
Haiku 4.5 $0.00011 $0.00074

Measured 7d ago against content hash 844f5bb9edce, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fallow-codex-onboarding 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 7d 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.

fallow/skills/fallow-codex-onboarding/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Set up Fallow in Codex

Use the Fallow app tools. Keep each step short. Ask one question at a time.

1. Check the installation

Call fallow_check_install with {}.

  • If it reports a version, continue.
  • If fallow is missing, explain that the app runs the fallow CLI locally and that no code leaves the machine. Offer to install it globally with npm install --global fallow. The sidebar dashboard needs a fallow on PATH, because the app runs a copy inside the project only within the Codex sandbox of a thread. Run the install only after the user agrees. Then call fallow_check_install again.

2. Choose the defaults

Call fallow_settings_read with {}. Ask these questions, one at a time. Skip a question when the user already answered it.

  1. "Analyze the whole project by default, or only the files your branch changed?" Map the whole project to scope: "full" and changed files to scope: "changed".
  2. "Leave tests, stories and dev tooling out of the analysis?" Map yes to production: true.

Call fallow_settings_update with a set object that holds only the changed values, for example {"set":{"scope":"changed"}}. Skip the call when nothing changed. Report the saved values from the tool result. Do not say that a value was saved when the call failed.

3. Run the first analysis

Call fallow_analyze with {}. The user sees the dashboard. In two or three sentences, give the health score, the largest category of findings, and one finding to start with.

If the result says that no project is known, ask the user to open a project folder in this thread, then call fallow_analyze again.

4. Show what the app adds

Tell the user, in a short list:

  • Fallow in the sidebar opens the full dashboard.
  • Code Health opens beside a thread and follows the project of that thread.
  • Type @Fallow in the composer to attach a finding or all findings of a rule.
  • Open .fallowrc.json or .fallowrc.jsonc to edit rules and preview their impact before saving. .sarif files open in a findings viewer.
  • Before a commit, ask Codex to audit the branch.

Read the full file on GitHub · 71 lines

Files

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.

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. 7d ago First seen · 71 lines · 109 tokens per session scan A 844f5bb9edce

Subscribe to this mod's changes

fallow-codex-onboarding is a skill published in the GitHub repository fallow-rs/fallow-skills (131 stars, last pushed today), licensed MIT. It adds 109 tokens to every session and 740 once invoked, about $0.0004 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 2026-10-10.

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