What is strategy-review?

A review workflow for scoring one planned strategy feature and producing a detailed written assessment.

It is for reviewing a strategy by its key, checking its source request and prior reviews, and saving results locally when dry-run or local mode is active.

It helps expose weaknesses in a proposed approach before work starts, including problems that a single reviewer might overlook.

How opendatahub-io/strat-creator configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to opendatahub-io/strat-creator. 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/opendatahub-io/strat-creator/main/.claude/skills/strategy-review/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/opendatahub-io/strat-creator

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-review/github.svg)](https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-review)

Your own site

<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,238 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.03238
Opus 5.5	$0.00013	$0.01295
Sonnet 5.5	$0.00007	$0.00648
Haiku 4.5	$0.00003	$0.00324

Measured 2mo ago against content hash 075fc7445b26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

strategy-review scanned grade C with 1 finding 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 2mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf /tmp/strat-assess/review

.claude/skills/strategy-review/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a strategy review orchestrator. Your job is to score and review a single strategy in artifacts/strat-tasks/, producing a review file with numeric scores and detailed prose.

Dry Run Mode

If --dry-run is in $ARGUMENTS, skip ALL external writes:

Do NOT write or update any Jira issues
Do NOT post review comments to Jira — save them to artifacts/strat-reviews/{id}-review-comment.md instead
DO still read from Jira and local artifacts (reads are safe)
DO still create local review files in artifacts/strat-reviews/

Local Mode

Check if strategy files exist in local/strat-tasks/. If they do, this is a local human review session pulled via /strategy-pull.

In local mode:

Read strategy files from local/strat-tasks/ instead of artifacts/strat-tasks/
Read review files from local/strat-reviews/ instead of artifacts/strat-reviews/
Write review files to local/strat-reviews/
Skip ALL Jira writes — no labels, no comments, no attachments posted to Jira
Skip the Pipeline Label Gate (Step 1a) — the strategy was already processed by CI
DO still run full scoring and prose reviews locally

Local mode is also active if any strategy file's frontmatter contains workflow: local.

If both local/strat-tasks/ and artifacts/strat-tasks/ have files, prefer local/strat-tasks/.

Step 1: Verify Artifacts Exist

This skill processes exactly one strategy per invocation. $ARGUMENTS must contain a strategy key (e.g., RHAISTRAT-1531 or STRAT-001). If no key is provided, stop with an error: "No strategy key provided. Usage: /strategy-review RHAISTRAT-NNNN"

Read the strategy file in artifacts/strat-tasks/. If it doesn't exist or hasn't been refined yet (no "Strategy" section), tell the user to run /strategy-refine first and stop.

Check if a prior review exists in artifacts/strat-reviews/. If one exists for this strategy, read it — this is a re-review after revisions.

Step 1a: Pipeline Label Gate

Read the strategy's frontmatter to get the jira_key. If jira_key is not null, fetch the STRAT's labels from Jira:

Read the full file on GitHub · 292 lines

Files

What ships with it

1 file 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.

scripts 26 B

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.

2mo ago Changed · -1 lines 075fc7445b26
2mo ago First seen · 293 lines · 33 tokens per session scan C c1959a5fa0e1

Subscribe to this mod's changes

strategy-review is a skill published in the GitHub repository opendatahub-io/strat-creator (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 3,238 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Planning

strategy-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
strategy-reviewopendatahub-io/strat-creator	Skill	3	1mo ago	Apache-2.0	C	33	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

strat-creator: Skill for Claude Code