codex-strategy-review
Skill0 starsChanged 3 months agoMITView on GitHub
Run an independent Codex adversarial strategy and logic review using GPT-5.6 Sol with xhigh reasoning. Generic by default; flexible for optional persona lenses resolved from the persona registry. Use for strategy docs, research conclusions, optimizer proposals, risk frameworks, decision memos, or arguments that need stress-testing.
- Installs packages
In this repository6 other files it gives its agents.
- claude-plan-reviewSkill
- claude-reviewSkill
- claude-strategy-reviewSkill
- codex-plan-reviewSkill
- codex-reviewSkill
- persona-registrySkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Use this to stress-test a strategy, argument, proposal, research conclusion, risk framework, optimizer design, decision memo, or any other …
- Very specific: line 37
Run without personas for a generic review.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Codex Strategy Review
Independent adversarial logic review using Codex (gpt-5.6-sol,
model_reasoning_effort=xhigh). This skill is generic by default and flexible for different personas.
Requires the
codexCLI (npm install -g @openai/codex, thencodex login). Persona listing/resolution works without it.
Focus
Use this to stress-test a strategy, argument, proposal, research conclusion, risk framework, optimizer design, decision memo, or any other plan where the question is "does this logic hold up?"
The generic review checks:
- conclusions that do not follow from premises
- hidden, circular, fragile, or unstated assumptions
- made-up thresholds, constants, weights, or scoring rules
- missing evidence, counterexamples, and falsification tests
- incorrect math, units, base rates, or time horizons
- feasibility, incentives, adoption, and operational constraints
- downside, tail risks, failure modes, monitoring, and reversibility
- contradictions between goals, constraints, and proposed mechanisms
Personas
Personas are optional lenses, not a fixed enum. Decide which to use up front when the
review is initiated. Example lenses: architect, cto, red-team, quant,
portfolio-manager — or pass a direct path to a persona .md file.
Run without personas for a generic review; pass --personas a,b,/path/to/persona.md for a panel.
List what's available via the shared resolver (works even without Codex):
python3 ~/.claude/skills/persona-registry/scripts/persona_registry.py --listModel & reasoning effort
Defaults: model gpt-5.6-sol, reasoning effort xhigh. To change (no reinstall): pass --model /
--effort, or edit DEFAULT_MODEL / DEFAULT_EFFORT at the top of the script.
Workflow
Generic review:
python ~/.claude/skills/codex-strategy-review/scripts/codex_strategy_review.py \
<strategy_file> \
[context_file ...]Generic review plus persona overlays:
python ~/.claude/skills/codex-strategy-review/scripts/codex_strategy_review.py \
<strategy_file> \
[context_file ...] \
--personas quant,pm,/path/to/custom_persona.mdLegacy form still works:
python ~/.claude/skills/codex-strategy-review/scripts/codex_strategy_review.py \
<strategy_file> \
quant,pm \
[context_file ...]Each persona pass is independent. The final synthesis may see all completed outputs and deduplicates agreement, disagreement, and unique catches.
Output Contract
Generic:
## Codex Strategy Review — Generic LogicPersona:
## Codex Strategy Review — <Persona Name>Synthesis:
## Codex Strategy Review — Panel SynthesisPersona resolution
Personas resolve via the shared resolver
(persona-registry/scripts/persona_registry.py), which is installed regardless of Codex.
The Codex script locates it automatically. Search order (first existing wins):
$PERSONA_REGISTRY_DIR(explicit override, if set)- co-located with the Codex script
- the skill dir / skills root (repo layouts)
- the sibling
persona-registryskill (in-repo layout) ~/.claude/skills/persona-registry/scripts(installed canonical resolver)
Persona discovery (which .md files are available) is governed by the persona-registry
skill: PERSONA_PATHS / --persona-dir, then the installed kit library
(~/.config/persona-review-kit/personas/), then project-local folders, then
~/.claude/personas/.
Intent and focus (automatic)
Derive these from the user's request — they should not need to type flags. From how they phrase the
ask, infer intent (what the work is trying to do) and focus (what to weight) and pass them as
--intent / --focus. For example, "review the auth refactor on this branch, focus on whether the
logic is right and skip style" -> --intent "auth refactor" --focus "logic correctness, skip style".
The text is appended to the prompt as author framing, never as another reviewer's findings (the review stays independent). A guardrail still surfaces every CRITICAL/HIGH finding even when it falls outside the focus.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

