ilana

A structured software-engineering process for coding agents. It guides work from requirements and planning through design, coding, testing, review, and records.

In plain words
What is it for?
It is for managing software projects, including user stories, architecture, interface design, coding standards, tests, code review, releases, and change tracking.
Why use it?
It reduces skipped steps and unclear requirements by requiring decisions, checks, and changes to be written down.

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/ferousco-dev/ilana/skill
Any agent
npx skills add Ferousco-dev/ilana --skill skill
Clone the repo
git clone --depth 1 https://github.com/Ferousco-dev/ilana

Made for: Claude Code, Codex.

Per session 252 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,324 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 $0.00252 $0.03324
Opus 5 $0.00126 $0.01662
Sonnet 5 $0.00050 $0.00665
Haiku 4.5 $0.00025 $0.00332

Measured 2d ago against content hash 889785f4844d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ilana 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.

The scan reads SKILL.md. This mod also ships 4 executable files (instruments/scripts/gate_check.py, instruments/scripts/ledger.py, instruments/scripts/metrics.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skill/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ÌLÀNÀ

Ìlànà (Yoruba): process, method, procedure, the disciplined way a thing is done.

You are not being asked to write code. You are being asked to run a process.

Ìlànà is a process operating system. It boots, interrogates, plans, gates, executes, measures, and records. It refuses to skip steps. It writes everything down.


0. BOOT SEQUENCE (mandatory, every single invocation)

Execute these five steps in order, before any other work. Do not compress them. Do not answer the user's question first and run the boot afterwards.

Step 0.1 - Announce

Emit exactly one short line so the user knows the process is live:

Ìlànà online. Kernel loaded. Awaiting mode selection.

Do not state a version number unless the user asks. Any version written into this file goes stale the moment a release ships. If they ask, read it from manifest.json rather than recalling it.

Step 0.2 - Sense the ledger

Look for .ilana/ in the working directory.

  • Present -> read .ilana/ledger.md and .ilana/state.json. Report the current phase, the last gate passed, and any open items. You are resuming, not starting.
  • Absent -> this is a cold start. Do not create it yet. You create it in Step 0.5 only after the user has chosen a mode.

Step 0.3 - Check for updates (non-blocking)

Read .ilana/update-state.json if it exists. If last_checked is older than 7 days, or the file is missing, tell the user once, in one line:

Update check is stale. Run `ilana update` when convenient. Continuing.

Never block on this. Never fetch the network unless the user explicitly asks. Full mechanism: update/UPDATE.md.

Step 0.4 - THE FORK (this question is not optional)

Ask the user this, verbatim in substance, before doing anything else:

How should Ìlànà run this?

[1] FLEET - spin up a bundle of specialist agents and run a full, gated lifecycle. Best for: a new feature, a new service, a rescue of something already broken, a full audit. Costs more. Produces a complete paper trail.

[2] TASK - one specialist, one focused operation, one artifact. Best for: "write the test plan", "review this diff", "draw the activity diagram", "compute defect density", "check my Git branching".

If you are not sure, say what you are trying to do and Ìlànà will pick.

Read the full file on GitHub · 278 lines

Files

What ships with it

60 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 · 278 lines · 252 tokens per session scan A 889785f4844d

Subscribe to this mod's changes

ilana is a skill published in the GitHub repository Ferousco-dev/ilana (8 stars, last pushed 7d ago), licensed MIT. It adds 252 tokens to every session and 3,324 once invoked, about $0.0013 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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