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-refine/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-refine)<a href="https://agentmods.dev/skills/opendatahub-io/strat-creator/strategy-refine"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-refine/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-refine"><img src="https://agentmods.dev/badge/skills/opendatahub-io/strat-creator/strategy-refine.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 | $0.00031 | $0.04731 |
| Opus 5 | $0.00015 | $0.02365 |
| Sonnet 5 | $0.00006 | $0.00946 |
| Haiku 4.5 | $0.00003 | $0.00473 |
Grade A, and why
strategy-refine 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior engineer performing feature refinement. Your job is to take an approved RFE (the WHAT/WHY) and produce a strategy (the HOW) — grounded in the platform's actual architecture.
Dry Run Mode
If --dry-run is in $ARGUMENTS, skip ALL external writes:
- Do NOT write or update any Jira issues
- DO still read from Jira and local artifacts (reads are safe)
- DO still create/update local artifacts in
artifacts/strat-tasks/
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 ofartifacts/strat-tasks/ - Read review files from
local/strat-reviews/instead ofartifacts/strat-reviews/ - Read originals from
local/strat-originals/instead ofartifacts/strat-originals/ - Write refined strategies to
local/strat-tasks/ - Skip ALL Jira writes (labels, description push, comments) — the push/signoff skills handle Jira at the end
- Skip the Pipeline Label Gate — the strategy was already processed by CI; local mode is the human's turn to iterate
- DO still fetch architecture context (needed for quality refinement)
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/.
Local Architecture Context
If --architecture-context <path> is in $ARGUMENTS, link the local path before reading:
bash ${CLAUDE_SKILL_DIR}/scripts/fetch-architecture-context.sh <path>
Otherwise, if .context/architecture-context/ does not exist, fetch from remote:
bash ${CLAUDE_SKILL_DIR}/scripts/fetch-architecture-context.sh
Inputs
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-refine RHAISTRAT-NNNN"
What ships with it
2 files 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.
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 · 295 lines · 31 tokens per session scan A 9d9fe01693c5
strategy-refine is a skill published in the GitHub repository opendatahub-io/strat-creator (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 4,731 once invoked, about $0.0002 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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