Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ikkeseb/skills/plugin install ikkeseb-skillsWrote 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/ikkeseb/skills/orchestrate)<a href="https://agentmods.dev/skills/ikkeseb/skills/orchestrate"><img src="https://agentmods.dev/badge/skills/ikkeseb/skills/orchestrate.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 5.1 | $0.00104 | $0.03303 |
| Opus 5 | $0.00052 | $0.01651 |
| Sonnet 5 | $0.00021 | $0.00661 |
| Haiku 4.5 | $0.00010 | $0.00330 |
Grade A, and why
orchestrate 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.
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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
orchestrate
Before the first delegation of a run, read references/model-map.md once
for tiers, pins, fallbacks and verification routing.
Shapes
Pick the shape the task needs, compose freely, chain shapes across turns and read each result before choosing the next. No shape is mandatory.
- Map — parallel cheap readers over the surfaces involved, returning one structured map (file → responsibilities → key symbols → line ranges → coupling). Runs before the seat reads anything large.
- Build — the seat cuts the work at file seams and specifies each piece; workers build, in parallel where the pieces touch different files.
- Check — on one diff, at the same time: cheap single-dimension checkers (one acceptance criterion or one risk each), the test/lint gate, and a cross-family reviewer when verification is owed. Findings reach the seat as candidates; fix-ups fold into the next piece instead of blocking it.
- Sweep — one bulk transform pipelined over a discovered list: rename sites, test updates against a changed API, rule-driven deletions.
- Second look — one cross-family reader on a finished result.
Scout inline, fan out the reading. The seat discovers the work-list with
cheap listing (ls, grep, diff stat); reading files to understand them is
Map work.
Scale to the ask. "Understand this package" → three to five readers. "Find every site" → finders until two rounds return nothing new. A one-line fix → no fan-out. A worker earns its slot with a named distinct slice; when the next slice has no name, the fan-out is done. A workhorse stage that must read more than about ten files is a Map stage in disguise: fan the reading out to cheap readers and hand the workhorse their extracts.
The instrument follows the lane. Codex stages are seat-dispatched: the
seat writes the prompt and schema files, starts the helper in the background
with a labeled call, keeps working, and harvests the run dir when the
harness reports the exit (references/codex-exec.md § Dispatch patterns).
One call per stage, up to four at a time, no relay agent in between. Claude
stages: one short stage → a plain Agent dispatch with model pinned, effort
inheriting the session; fan-out or multiple stages → a Workflow of agent()
calls, every lane a labeled row in one tree. A Workflow carries a Codex
stage only when a per-item pipeline must mix lanes; then the foreground
codex-worker adapter makes one call over files the seat wrote. A one-row
tree is an effort adapter, never a shape: only deep verification of another
lane's work under a seat running below high earns it, with effort pinned
on the agent() call. Invoking /orchestrate is the Workflow opt-in.
pipeline() by default; a barrier only where a stage needs every prior
result. Too small or too ambiguous to delegate well → state the sequential
fallback and do it in the main loop.
What ships with it
8 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.
- references/codex-exec.md 32 KB
- references/codex-troubleshooting.md 2.4 KB
- references/imagegen.md 1.3 KB
- references/model-map.md 14 KB
- scripts/check-helper-resolution.sh 8.7 KB runs code
- scripts/codex-worker.sh 58 KB runs code
- scripts/test-codex-worker.sh 26 KB runs code
- scripts/worker-read.rules 962 B
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.
- 2d ago Changed · +23 lines · +27 tokens per session 4a4ecae65011
- 6d ago First seen · 215 lines · 77 tokens per session scan A 39b896b3e5bb
orchestrate is a skill published in the GitHub repository ikkeseb/skills (2 stars, last pushed 3d ago), licensed MIT. It adds 104 tokens to every session and 3,303 once invoked, about $0.0005 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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