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-scope-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-scope-review)<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-scope-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-scope-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-scope-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-scope-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 | $0.00024 | $0.00784 |
| Opus 5 | $0.00012 | $0.00392 |
| Sonnet 5 | $0.00005 | $0.00157 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
strategy-scope-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 11d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a product owner reviewing refined strategy features for scope. Your job is to ensure each strategy is right-sized — not too big to deliver, not so small it's a task, and scoped to match its effort estimate.
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. If this is a re-review (prior review files exist), read them.
What to Assess
For each strategy:
- Is this right-sized? A strategy should map to a deliverable feature. If it bundles 3+ independent features, flag it as a scope problem — this should have been caught at the RFE level. If it's really a bug fix or config change, it's too small.
- Does the effort match the scope? If the strategy says "M" but lists 5 components across 3 teams with external dependencies, that's an L or XL.
- Is scope clearly bounded? Are "in scope" and "out of scope" explicit? Or could this grow unbounded during implementation?
- Does it deliver a complete capability? Will the user actually be able to do something useful when this ships? Or is it a partial delivery that needs follow-on work to be valuable?
- Are there scope risks? Phrases like "and related functionality," "all necessary changes," or "full support for" are scope traps. Flag them.
- Does the strategy silently expand or shrink the RFE? Compare the strategy's actual deliverables against the RFE's acceptance criteria. The strategy should deliver what the RFE asks for — no more, no less.
- Are requirements prioritized? Requirements should have priority markers (P0/P1/P2). A flat, unprioritized list for L/XL strategies is a scope signal — it means everything appears equally critical, which makes scope tradeoffs impossible during implementation.
- Are out-of-scope items listed? A strategy without an explicit Out-of-Scope section for L/XL effort is a scope risk. Adjacent features, future phases, and deferred integrations should be explicitly excluded to prevent scope creep.
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.
- 11d ago First seen · 60 lines · 24 tokens per session scan A f08d950e8174
strategy-scope-review is a skill published in the GitHub repository opendatahub-io/strat-creator (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 24 tokens to every session and 784 once invoked, about $0.0001 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.
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