Borrowing it
Nothing to install: this file belongs to xi-kari/crossframe-skill. 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/xi-kari/crossframe-skill/main/.claude/skills/crossframe-review/SKILL.mdgit clone --depth 1 https://github.com/xi-kari/crossframe-skillWrote 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/xi-kari/crossframe-skill/crossframe-review)<a href="https://agentmods.dev/skills/xi-kari/crossframe-skill/crossframe-review"><img src="https://agentmods.dev/badge/skills/xi-kari/crossframe-skill/crossframe-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/xi-kari/crossframe-skill/crossframe-review"><img src="https://agentmods.dev/badge/skills/xi-kari/crossframe-skill/crossframe-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 | $0.00075 | $0.03550 |
| Opus 5 | $0.00037 | $0.01775 |
| Sonnet 5 | $0.00015 | $0.00710 |
| Haiku 4.5 | $0.00007 | $0.00355 |
Grade A, and why
crossframe-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 9d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CrossFrame Review
如果评审对象来自多个 CrossFrame skill 的连续工作流，先读取 ../crossframe-suite/SKILL.md 还原应有调度链，再判断是否有漏触发、误触发或跳过质量闸。
本 skill 只做评审与修复建议，不替代 crossframe 生成诊断，也不替代 crossframe-essay 写文章。中文为权威语义；英文只作 skill id、文件名和接口说明。
轻入口规则
每次触发后，先读取 canonical skill，而不是复制它们的正文：
- 读取
../crossframe/SKILL.md。 - 读取
../crossframe/references/read-routing-map.md。 - 读取
../crossframe/references/runtime-read-policy.md与../crossframe/references/continuity-closure-map.md，判断本应触发哪些 v5.0 连续联读包；只有需要包说明、源锚点或闭包细节时，再定向读取../crossframe/references/continuity-bundles.md或具体包文件。 - 若评审对象是深度、审计、高责任、公共制度、亲密关系、长期演化或文章类输出，读取或检查
../crossframe/templates/read-state-capsule.md规定的v5-read-state-capsule是否存在并被下游复用。 - 按需读取
../crossframe/worksheets/source-continuity-check.md与../crossframe/worksheets/source-anchor-integrity-check.md，检查闭包是否完整、中心命题和行动边界是否能回指胶囊源锚点。 - 若评审对象包含文章正文、公共评论、行动建议、强机制句、高风险概念或高责任判断，读取
../crossframe/templates/claim-ledger.md与../crossframe/worksheets/claim-ledger-check.md，检查正文是否只从已登记claim_id展开。 - 若评审对象出现 v5 DLC、量化、评分、半量化、七闸分值、score、rubric、校准、一致性、案例库试跑或自动化 checker，读取
../crossframe/references/construct-map-v5-dlc.md、../crossframe/worksheets/seven-gates-quant-rubric.md与../crossframe/references/judgment-action-matrix-v5-dlc.md，检查分值是否只用于降档、补证、阻断发布和行动上限。 - 若评审对象是文章、长文、评论、思想文章、报刊答复或“现代编辑同志口吻”输出，按需读取
../crossframe-essay/SKILL.md。 - 读取本目录的
protocols/review-protocol.md和templates/review-report.md。 - 若涉及文章底稿、引用、检索材料或声口，追加读取
protocols/article-review-protocol.md。 - 若涉及公共事实、真实机构、平台、政策、人物、公司、最新事实、AI/过程性产物、批判文章或来源使用，读取
../crossframe/references/source-ledger-workflow.md，检查来源台账字段是否完整。 - 若评审对象是历史、历史制度、文明连续史、王朝制度、历史领域接口、史料闭合或 archive/FOIA backlog，读取
../crossframe-history/SKILL.md与../crossframe-history/protocols/history-source-ledger-protocol.md，检查历史输出档位、具体史料台账和调用完成硬闸。 - 按需读取本目录
references/中的评分表、失败类型表和证据边界清单。
不要把 CrossFrame 主 skill、文章 skill、eval、examples 或完整案例复制到本 skill 输出中。评审时只引用必要规则名、触发点和证据位置。若 v5-read-state-capsule 已存在，下游默认复用胶囊，不得为了评审而重复整块读取源索引。
What ships with it
12 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.
- agents/openai.yaml 398 B
- evals/crossframe-review-smoke-tests.md 12 KB
- examples/boundary-review-case.md 1.6 KB
- examples/failure-review-case.md 2.4 KB
- examples/normal-review-case.md 2.0 KB
- protocols/article-review-protocol.md 5.4 KB
- protocols/review-protocol.md 17 KB
- references/case-law.md 2.2 KB
- references/evidence-boundary-checklist.md 3.5 KB
- references/failure-taxonomy.md 21 KB
- references/review-rubric.md 7.9 KB
- templates/review-report.md 5.4 KB
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.
- 9d ago First seen · 145 lines · 75 tokens per session scan A 3a085ea03ae2
crossframe-review is a skill published in the GitHub repository xi-kari/crossframe-skill (18 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 3,550 once invoked, about $0.0004 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 2026-08-30.
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