work

work is a skill for Codex from automagik-dev/genie. It costs 23 tokens per session (2,273 once invoked), scanned A, original, MIT.

A task coordinator that carries out an approved work plan by assigning task groups to helper agents and checking their results.

In plain words
What is it for?
Use it to execute plans stored in the project’s wish files, coordinate parallel task groups, track their state, run fix loops, and prepare work for review.
Why use it?
It organizes multi-step engineering work and includes validation and review handoffs so unfinished or faulty tasks can be revisited.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents.

Good fit Use it to execute plans stored in the project’s wish files, coordinate parallel task groups, track their state, run fix loops, and prepare work for review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/automagik-dev/genie/work
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 automagik-dev/genie --skill work
Clone the repo
git clone --depth 1 https://github.com/automagik-dev/genie

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 work

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/automagik-dev/genie/work"><img src="https://agentmods.dev/badge/skills/automagik-dev/genie/work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,273 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
SkillSpector: 1 finding, up to low

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • low Excessive Agency · line 134
    Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.
    Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
How audits are shown
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 $0.00023 $0.02273
Opus 5.5 $0.00009 $0.00909
Sonnet 5.5 $0.00005 $0.00455
Haiku 4.5 $0.00002 $0.00227

Measured 12d ago against content hash 342f024f9fa3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

work 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 12d 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/work/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Work

Read the wish and require persisted APPROVED, or IN_PROGRESS for a resume. The coordinator sets IN_PROGRESS before execution and owns task completion and review evidence. Documents remain the instruction source.

Dispatch

Derive ready waves from WISH.md’s Execution Strategy and per-group depends-on. A task DB row being ready does not prove its dependencies are met; the DAG lives in the document.

Order the work inside a group as tracer bullets: dispatch the thinnest slice that runs end to end first, then widen it. A slice that crosses every layer proves the interfaces exist and tells the next slice what it may assume, while layers finished separately prove nothing until the last one lands.

Delegate each independent group through the active runtime’s native surface, using the plan’s portable role and supported runtime configuration. Inherit the active model unless the user or an evidenced capacity diagnosis authorizes a change. If delegation is unavailable, report that limitation; do not pretend independent review occurred.

Give each worker its goal, deliverables, criteria, validation, dependencies, owned files, relevant context, and stop conditions. Include task identifiers when available. Keep doing independent coordination/integration work while workers run.

Parallel writers need disjoint file ownership or dedicated worktrees; otherwise sequence them. Shared-workspace workers do not change repo-level git state (checkout, switch, reset, stash, rebase) or commit: only the coordinator moves HEAD and arranges isolation. Reviewers remain read-only. Reuse or steer a live worker rather than spawning a duplicate. When the coordinator commits out of a shared or dirty checkout it commits the exact reviewed pathset and never a sweep of the whole tree, and it never discards, reverts or sets aside uncommitted work it did not write; references/exact-path-commit.md carries that procedure and its preservation gates.

Standalone claims

Before dispatch the coordinator writes the handoff onto the card; before mutation, including shared environment setup, the assigned worker claims its group; at handoff the worker posts exactly one report:

Read the full file on GitHub · 87 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. 12d ago Changed · +4 lines 342f024f9fa3
  2. 1mo ago Changed · -2 lines f4f97f65fe2d
  3. 1mo ago Changed · +4 lines 529301707498
  4. 1mo ago Changed · -70 lines · -3 tokens per session c8194da10a5d
  5. 1mo ago Changed 74e8d7722ee7
  6. 1mo ago First seen · 151 lines · 26 tokens per session scan A 979873b73c71

Subscribe to this mod's changes

work is a skill published in the GitHub repository automagik-dev/genie (345 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 2,273 once invoked, about $0.0001 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 2026-08-30.