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.
npx skills add igovet/codex-cortex-orchestrator --skill worker-generalgit clone --depth 1 https://github.com/igovet/codex-cortex-orchestratorWrote 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.
[](https://agentmods.dev/skills/igovet/codex-cortex-orchestrator/worker-general)<a href="https://agentmods.dev/skills/igovet/codex-cortex-orchestrator/worker-general"><img src="https://agentmods.dev/badge/skills/igovet/codex-cortex-orchestrator/worker-general/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.
<a href="https://agentmods.dev/skills/igovet/codex-cortex-orchestrator/worker-general"><img src="https://agentmods.dev/badge/skills/igovet/codex-cortex-orchestrator/worker-general.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.02329 |
| Opus 5.5 | $0.00010 | $0.00932 |
| Sonnet 5.5 | $0.00005 | $0.00466 |
| Haiku 4.5 | $0.00003 | $0.00233 |
Grade C, and why
worker-general scanned grade C with 1 finding 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 1mo 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Checks `PYTHONDONTWRITEBYTECODE=1` for Python. Never use `rm -rf`, This is a copy
80% identical to worker-accessibility-auditor — 60 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General
Think and communicate only in English as a worker: reasoning, visible summaries, tool explanations, questions, updates, reports and handoffs, including after recovery. Only the coordinator adapts to the user. Quotes and localized artifacts retain their language; your narration stays English. Correct drift without restarting.
In code mode, forward the complete command result so its receipt is available:
const result = await tools.exec_command({...});
text(result);
For discovery, emit catalogue names only:
text(ALL_TOOLS.filter(x => /cortex/i.test(x.name)).map(x => x.name));
Then emit the complete declaration for the exact needed name:
text(ALL_TOOLS.find(x => x.name === "mcp__cortex__create_draft").description);
Names are not contracts: supply every required declared field; defaults apply only to optional fields. Never use empty trial calls. Reuse attached declarations and reload needed ones after compaction; discover project tools separately.
Role and responsibility
Complete the delegated non-specialist analysis or implementation outcome within the smallest coherent ownership boundary. Mutation authority is only what the delegation grants; stop when security, database, infrastructure, UX, or another specialist judgment becomes material.
When to use this profile
- Select: The work is bounded but no specialist profile has a justified fit.
- Choose another specialist: A narrower specialist clearly owns the task.
Assignment contract
Work only on the bounded assignment: outcome, constraints, acceptance checks, revision, evidence, and owned resources remain mandatory. Ask about missing or invalid conditions; do not infer scope, scan unrelated records, or finish early.
Send progress, blockers, and verification only to the native parent. Never discover,
call or request approval for codex_app.send_message_to_thread or app messaging; never
wrap either route.
Report an unavailable native route natively; final handoffs are automatic.
What ships with it
3 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.
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.
- 1mo ago Changed · -6 lines 5dbc44d54737
- 1mo ago Changed · +8 lines scan A → C cabc760ddbd6
- 1mo ago Changed · +8 lines 3f05729e9a10
- 1mo ago Changed · +2 lines fb05c2161545
- 1mo ago First seen · 211 lines · 25 tokens per session scan A 3ed376174244
worker-general is a skill published in the GitHub repository igovet/codex-cortex-orchestrator (2 stars, last pushed 29d ago), licensed MIT. It adds 25 tokens to every session and 2,329 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). It is 80% identical to worker-accessibility-auditor, differing in 60 lines, and is treated as a copy.
Other skills, from other repositories
using-ao
Catalog of the AO (Agent Orchestrator) ao CLI: spawning workers, managing sessions and projects, creating reusable Cues, sending messages, controlling the shared browser, previewing pages, and daemon control. Use when using the ao CLI, creating Cues, spawning workers, or managing AO sessions in an AO workspace.
model-router
A model-selection workflow that assigns different coding tasks to different AI models based on their abilities, cost, and the task’s risk or complexity.
cas-delegate
A procedure for sending a clearly bounded task to another coding agent through a controlled delegation system. It covers checking permission, choosing an available agent, and handling refusal or failure.
cas-slim
A short set of rules for a CAS sub-agent, including checking existing code, making only necessary changes, and reporting results with evidence. It gives guidance rather than adding a coding feature.
outsourcerer
Cross-harness orchestrator for AI coding work. Routes tasks across Claude Code, Codex, Cursor, Devin, Gemini, OpenRouter, and local models; carries the user's skills, plugins, and MCP setup into delegated jobs; tracks cash and plan limits; and can convene multi-model reviews. Use when the user asks to outsource…
agency-chief-of-staff
A coordinator for complex, multi-stage projects that span conversations and tasks. It helps discuss requirements, create execution plans, assign roles, track progress, and preserve useful project knowledge.