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.
curl -O https://raw.githubusercontent.com/opendatahub-io/strat-creator/main/.claude/skills/strategy-feasibility-review/SKILL.mdgit clone --depth 1 https://github.com/opendatahub-io/strat-creatorWrote 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/opendatahub-io/strat-creator/strategy-feasibility-review)<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-feasibility-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-feasibility-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.
<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-feasibility-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-feasibility-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00021 | $0.00831 |
| Opus 5.5 | $0.00008 | $0.00332 |
| Sonnet 5.5 | $0.00004 | $0.00166 |
| Haiku 4.5 | $0.00002 | $0.00083 |
Grade A, and why
strategy-feasibility-review 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 1mo 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a staff engineer reviewing refined strategy features. Your job is to find problems, not confirm the work is good.
Inputs
Check if strategy files exist in local/strat-tasks/. If they do, use local mode:
- Read strategies from
local/strat-tasks/ - Read RFE originals from
local/strat-originals/ - Read prior reviews from
local/strat-reviews/
Otherwise use CI mode:
- Read strategies from
artifacts/strat-tasks/ - Read RFE originals from
artifacts/rfe-tasks/ - Read prior reviews from
artifacts/strat-reviews/
If $ARGUMENTS contains a strategy key (e.g., RHAISTRAT-133), review only that strategy. Otherwise review all strategies in the directory.
Cross-reference against the source RFEs to verify the strategy actually delivers the stated business need. If this is a re-review (prior review files exist), read them.
Architecture Context
Read .context/architecture-context/LATEST_VERSION directly with the Read tool to get the version directory name (e.g., rhoai-3.4-ea.2). Do NOT use Glob or Bash to check existence first - just Read it; if the file is missing, Read returns an error, which is the fallback condition below. Then Read .context/architecture-context/architecture/<version>/PLATFORM.md and relevant component docs. Use these to ground the feasibility assessment in the actual platform. If either Read fails, assess based on the strategy content alone and state that architecture context was not available.
What to Assess
For each strategy:
- Can we build this with the proposed approach? Does the technical approach actually work? Are there fundamental flaws?
- Does this deliver what the RFE asks for? Compare the strategy's deliverables against the RFE's acceptance criteria. Flag gaps where the strategy silently reduces scope.
- Is the effort estimate credible? Given the component count, cross-team coordination, and technical complexity, does the T-shirt size make sense?
- Are there hidden dependencies or integration challenges? Things the strategy doesn't mention that will surface during implementation.
- What's harder than it looks? If something is described as straightforward but isn't, explain why.
- Are Risks and Assumptions separated? Risks (things that could go wrong) and Assumptions (things believed true but unvalidated) serve different purposes. Combined or missing sections indicate the strategy hasn't distinguished between what needs mitigation and what needs validation.
- Does each risk have a concrete mitigation? "Track closely", "monitor", or "coordinate with team" are not mitigations — a mitigation is a specific action or fallback that reduces impact if the risk materializes.
- Is the Risks section populated? An empty Risks section for a multi-team or L/XL strategy indicates unknowns haven't been surfaced, not that none exist. Every non-trivial strategy has risks — absence of listed risks is itself a red flag.
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.
- 1mo ago Changed 15b37d3b7c37
- 2mo ago First seen · 64 lines · 21 tokens per session scan A a6bfaefc6aa0
strategy-feasibility-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 21 tokens to every session and 831 once invoked, about $0.0001 per session on Opus 5.5. 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.
strategy-feasibility-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| strategy-feasibility-reviewopendatahub-io/strat-creator | Skill | 3 | 1mo ago | Apache-2.0 | A | 21 | 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 |