OPOS: Skill for Claude Code

.claude/skills/deliberate-decision/SKILL.md

deliberate-decision is a skill for Claude Code from Koroqe/OPOS. It costs 70 tokens per session (4,168 once invoked), scanned A, original, MIT.

A structured process for testing an important company decision through proposals, criticism, revisions, and a final judgment.

In plain words
What is it for?
Use it for choices such as strategy, hiring, market entry, or major policy changes, rather than routine day-to-day decisions.
Why use it?
It exposes weaknesses and competing concerns before a high-stakes decision is approved. It brings several functional viewpoints into one review.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is Koroqe/OPOS's own configuration. It tells Claude Code how to work on OPOS itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything OPOS configures →

View source ↗ Koroqe/OPOS
Reuse

Borrowing it

Nothing to install: this file belongs to Koroqe/OPOS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Koroqe/OPOS/main/.claude/skills/deliberate-decision/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Koroqe/OPOS

Made for: Claude Code.

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README.md
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Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,168 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.
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 $0.00070 $0.04168
Opus 5 $0.00035 $0.02084
Sonnet 5 $0.00014 $0.00834
Haiku 4.5 $0.00007 $0.00417

Measured 9d ago against content hash 7b77e16bcfca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deliberate-decision 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 9d 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.

.claude/skills/deliberate-decision/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

deliberate-decision

When to use

When a high-level company decision needs systematic pressure-testing: strategic direction, hiring, market entry, major policy changes, cross-functional tradeoffs. NOT for routine tactical choices (use the chief-of-staff dispatcher or a single consult-agent instead — those are cheaper). The plan-critic pattern that's been load-bearing on 7 OPOS releases (v0.4.0 through v0.6.1) is now a first-class company process.

This is the framework's most expensive single skill — ~15 subagent invocations per default 2-round deliberation (per RISKS Risk 27). Use deliberately for decisions whose stakes justify the cost.

Inputs

  • proposal_text (or proposal_path to a file containing the proposal). Required. Non-empty after trim; soft cap 15,000 chars (most 1-2-page strategic memos fit).
  • proposer_agent — kebab-case agent name; required; must match an existing name: in .claude/agents/**/*.md.
  • decision_arbiter — OPTIONAL; default = computed from escalation rule (see below).
  • critics — OPTIONAL override; default = all dept-leads + escalation-target minus proposer.
  • rounds — OPTIONAL; default 2; allowed input range [1, 5].

Task-call pattern (direct, NOT through consult-agent middleware)

This skill spawns Task calls DIRECTLY — it does NOT invoke the consult-agent skill. Reasons:

  • consult-agent is a SKILL (a body of instructions), not an agent. You can't Task → consult-agent; you'd execute consult-agent's body which itself uses Task. 6 sequential consult-agent invocations would block parallelism.
  • The simulation prompt template consult-agent produces is reproduced INLINE in this skill's Task calls (load critic agent definition + format the "You are SIMULATING <name>..." framing).
  • Audit-trail consequence: these Task calls do NOT generate consult-agent/history/ entries. The audit lives in (a) .claude/skills/deliberate-decision/history/ (one consolidated entry per deliberation), and (b) the decision artifact's Audit section (one line per Task-call summarizing each round). The framework's consult-agent/history/ folder stays focused on user-invoked single-shot consultations.

Read the full file on GitHub · 276 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. 9d ago First seen · 276 lines · 70 tokens per session scan A 7b77e16bcfca

Subscribe to this mod's changes

deliberate-decision is a skill published in the GitHub repository Koroqe/OPOS (2 stars, last pushed 7d ago), licensed MIT. It adds 70 tokens to every session and 4,168 once invoked, about $0.0003 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.