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 agentmods add skills/phelan164/codex-howto/orchestrate-engineeringnpx skills add Phelan164/codex-howto --skill orchestrate-engineeringgit clone --depth 1 https://github.com/Phelan164/codex-howtoWrote 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/phelan164/codex-howto/orchestrate-engineering)<a href="https://agentmods.dev/skills/phelan164/codex-howto/orchestrate-engineering"><img src="https://agentmods.dev/badge/skills/phelan164/codex-howto/orchestrate-engineering.svg" alt="Measured on agentmods" 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 | $0.00078 | $0.00744 |
| Opus 5 | $0.00039 | $0.00372 |
| Sonnet 5 | $0.00016 | $0.00149 |
| Haiku 4.5 | $0.00008 | $0.00074 |
Grade A, and why
orchestrate-engineering 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrate Engineering
Start with the delegation decision
- Read applicable
AGENTS.mdfiles and the task’s acceptance criteria. - Map dependencies before creating workers.
- Use one agent when the task is small, tightly coupled, or dominated by shared-file edits.
- Delegate only when at least two workstreams are genuinely independent, noisy investigation should be isolated, or specialized review materially improves coverage.
- Explain the chosen topology briefly before starting workers.
Subagents normally consume more total tokens than a comparable single-agent run. Optimize for fewer failed loops, cleaner context, better coverage, or lower elapsed time—not the highest agent count.
Choose a topology
- Use fan-out/fan-in for independent read-only research, review, triage, or log analysis.
- Use a pipeline when exploration, planning, implementation, testing, and review depend on prior outputs.
- Use partitioned implementation only after shared interfaces are stable and each worker owns exclusive files or subsystems.
Read references/context-budget.md when selecting a topology, preparing worker context, defining summaries, or evaluating efficiency.
Prepare every worker
Give each worker:
Objective:
Bounded scope:
Required context:
Allowed actions and permissions:
Required evidence:
Output format:
Stop condition:
Provide the minimum task-local context. Do not copy the entire main-thread history into every worker.
Coordinate
- Start with the smallest useful number of workers.
- Keep research, review, and test-analysis workers read-only when possible.
- Assign exclusive ownership before parallel writes.
- Keep cross-cutting decisions, requirements, and interface changes in the main thread.
- Require concise evidence summaries instead of raw logs.
- Stop or steer workers that expand scope, duplicate another worker, or lose their evidence path.
- Wait at explicit dependency or integration gates.
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.
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.
- 4d ago First seen · 80 lines · 78 tokens per session scan A 5f9b76747721
orchestrate-engineering is a skill published in the GitHub repository Phelan164/codex-howto (3 stars, last pushed 7d ago), licensed MIT. It adds 78 tokens to every session and 744 once invoked, about $0.0004 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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