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 commands/kouroshez/coding-os/composegit clone --depth 1 https://github.com/kouroshez/coding-osWhat 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 | $0.00000 | $0.00486 |
| Opus 5 | $0.00000 | $0.00243 |
| Sonnet 5 | $0.00000 | $0.00097 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
compose 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 yesterday.
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.
What it actually says
Compose the 11-semantic-role chain for the current COMPLICATED+ task and dispatch.
Use when the thinking_os gate is COMPLICATED or COMPLEX (Q1) — the chain orchestrates researcher → analyst → architect → … → reviewer/observer per the formula composer at src/core/thinking_os/formula_composer.py. For CLEAR tasks skip; the composer is intentionally heavyweight.
Steps:
- Read the active task id (
$COS_AGENT_DIR/.task-current) and current gate ($COS_AGENT_DIR/.thinking_os-gate). If$ARGUMENTSis provided asTASK-NNN, use it directly. - Invoke
cos_compose_chain(task_id="<TASK-ID>")(the MCP tool registered in src/core/thinking_os/tools/cognition.py). The envelope returns:data.chain: orderedRoleActivationlist (role · intensity · formula).data.signals: theTaskSignalsthe composer extracted (complexity · domain · risk markers).
- State the chain inline so the user sees the orchestration:
🧠 chain: researcher → analyst → … → reviewer. - Execute the chain — either by dispatching each role via
cos_dispatch_formula_run(Claude SDK extra installed) or by walking the formulas inline (no SDK extra). Each role'sEvidenceBundleis recorded viacos_supervise_record_output. - Update the task's Work Log with
chain composed: <role list>.
Acceptance gates:
- Skipping
cos_compose_chainon a COMPLICATED+ task is a known dead-path: a prompt-based nudge that agents read but don't act on./composeis the deterministic alternative: one keystroke, one tool call, one chain. - The chain output is persistent —
formula_dispatchesandpersona_selectionstables grow by ≥1 row per/composeinvocation.
Output format:
🧠 chain: <r1> → <r2> → … → <rN> (complexity=<Q1>, dimensions=<Q2>)
signals: <domain>, <risk-markers>
formulas: <preset-id> · <preset-id> …
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.
- yesterday First seen · 24 lines · 0 tokens per session scan A 1919c081a8df
compose is a command published in the GitHub repository kouroshez/coding-os (6 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 486 tokens. 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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soc2-review
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