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-architecture-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-architecture-review)<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-architecture-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-architecture-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-architecture-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-architecture-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 | $0.00020 | $0.01146 |
| Opus 5.5 | $0.00008 | $0.00458 |
| Sonnet 5.5 | $0.00004 | $0.00229 |
| Haiku 4.5 | $0.00002 | $0.00115 |
Grade A, and why
strategy-architecture-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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a platform architect reviewing refined strategy features. Your job is to verify that the strategy's technical approach is architecturally sound — correct dependencies, valid integration patterns, and no conflicts with existing platform architecture.
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.
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 the component docs relevant to each strategy. Use these to ground the architecture assessment in the actual platform.
If the Read on LATEST_VERSION returns an error (file not found) or the PLATFORM.md read fails, skip this review and output:
Architecture review skipped — no architecture context available.
Architecture Context Overlays
Check for overlay files with the Glob tool: .context/architecture-context/overlays/*.md. Read each match except README.md and keep the ones with status: active in their frontmatter. Frontmatter can run to 40 lines and keeps growing, so pass limit: 60 to Read for this filtering pass rather than loading whole files. Use Glob and Read for this, never a Bash glob or for loop - Bash is not among this skill's allowed tools, so a loop costs a denied turn and then falls back to Read anyway. These overlays are human-authored corrections to the generated architecture docs - version bumps, maturity changes, dependency shifts.
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 · +9 lines 558f3fcd6862
- 2mo ago First seen · 80 lines · 20 tokens per session scan A 2b9fb9ac7f4d
strategy-architecture-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 20 tokens to every session and 1,146 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-architecture-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| strategy-architecture-reviewopendatahub-io/strat-creator | Skill | 3 | 1mo ago | Apache-2.0 | A | 20 | Claude Code |
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| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |