framework-review

framework-review is a skill for Claude Code from lync-cyber/CataForge. It costs 118 tokens per session (5,028 once invoked), scanned A, original, MIT.

A review process for the configuration that makes an agent framework work, including agents, skills, hooks, rules, and workflows. It checks whether these pieces are complete, consistent, connected, and compliant with the framework’s rules.

In plain words
What is it for?
Use it to audit selected framework assets or the whole .cataforge configuration and produce a dated review report with a pass or revision-needed conclusion.
Why use it?
It finds broken references, mismatched documentation, unreachable scripts, incomplete workflow coverage, and invalid model settings before they cause problems.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: names the AskUserQuestion tool; mentions Codex.

Good fit Use it to audit selected framework assets or the whole .cataforge configuration and produce a dated review report with a pass or revision-needed conclusion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lync-cyber/cataforge/framework-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lync-cyber/CataForge --skill framework-review
Clone the repo
git clone --depth 1 https://github.com/lync-cyber/CataForge

Made for: Claude Code.

Wrote 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.

agentmods badge for framework-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/lync-cyber/cataforge/framework-review/github.svg)](https://agentmods.dev/skills/lync-cyber/cataforge/framework-review)
Your own site
<a href="https://agentmods.dev/skills/lync-cyber/cataforge/framework-review"><img src="https://agentmods.dev/badge/skills/lync-cyber/cataforge/framework-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.

agentmods 80×15 button for framework-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/lync-cyber/cataforge/framework-review"><img src="https://agentmods.dev/badge/skills/lync-cyber/cataforge/framework-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,028 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 118
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 118
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 124
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 124
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 135
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 135
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00118 $0.05028
Opus 5.5 $0.00047 $0.02011
Sonnet 5.5 $0.00024 $0.01006
Haiku 4.5 $0.00012 $0.00503

Measured 2mo ago against content hash e2af650dc55c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

framework-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 2mo 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.

.cataforge/skills/framework-review/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

框架元资产审查 (framework-review)

能力边界

  • 能做: 审查 .cataforge/ 下的 agents / skills / hooks / rules 元资产;对账 SKILL.md ↔ CHECKS_MANIFEST;交叉引用图完整性;裸常量数值检测;workflow phase × agent × skill 覆盖矩阵;agent model_tier 合规
  • 不做: 修改被审元资产(仅产报告);审查 src/ 下的业务代码;审查 IDE 厂商 profile 漂移

输入规范

  • scope: agents | skills | hooks | rules | workflow | all
  • 可选 --focus: 限定子检查组(组级 ID B1…B9,逗号分隔;不支持 B1-α 子粒度写法——CLI 只按组匹配,子粒度值会静默匹配不到任何检查)
  • 可选 --target <asset_id>: 仅审单个 agent / skill 名(Layer 2 节省 token;Layer 1 仍按 scope 全跑)
  • 项目根下的 .cataforge/ 目录(必读)
  • cataforge.runtime.skill.builtins.*.CHECKS_MANIFEST(B3 对账数据源,从已安装的 cataforge 包导入)
  • cataforge.runtime.hook.scripts.* (B6-α/β script 可达性 + ast.parse 数据源)
  • cataforge.core.types.CAPABILITY_IDS / EXTENDED_CAPABILITY_IDS (B6-γ matcher 校验集)
  • framework.json#/constants/AGENT_MODEL_DEFAULTS + AGENT_MODEL_TIER_HEAVY_WHITELIST (B7 数据源)
  • framework.json#/dispatcher_skills (B5-α 区分 skill-as-router vs 未定义 agent)

输出规范

  • 框架审查报告: docs/reviews/framework/FRAMEWORK-REVIEW-{scope}-{YYYYMMDD}-r{N}.md
  • 审查结论: approved / approved_with_notes / needs_revision

推荐触发路径

framework-review 是按需触发的元资产审查,不进入业务流程主循环。推荐的合规触发面:

  • 用户手动: cataforge skill run framework-review -- all(或具体 scope)
  • CI 守卫: 在 PR pipeline 增加一步 cataforge skill run framework-review -- all --focus B1,B2,B3,B7,仅 FAIL 时阻塞合并
  • doctor 深扫: cataforge doctor --deep 可选附带 framework-review 全量
  • 可配合: cataforge viz framework 渲染编排图,与本 skill 的结构发现对照核验
  • 不要: 让 reviewer agent 在业务流程内自动调起(reviewer.allowed_paths 不覆盖此报告路径,会污染审查独立性)

操作指令: 框架审查 (review)

Step 1: Layer 1 — 静态结构检查

执行: cataforge skill run framework-review -- {scope} [--focus B1,B2,B3,B4,B5,B6,B7,B8,B9]

返回码语义按 §Layer 1 调用协议。各子检查的判定语义与失败级别见 §Layer 1 检查项;scope → 子检查组映射:

scope 子检查
agents B1-α/β, B2-α, B4-α, B7-α/β/γ, B8-α/β/γ
skills B1-α/β, B2-α/β, B3-α/β/γ, B4-α, B8-α/β/γ
rules B1-β, B4-α
hooks B6-α…ε
workflow B5-α…ζ, B9-α/β/γ
all B2, B5, B6, B7, B8, B9

Read the full file on GitHub · 164 lines

Changes

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.

  1. 2mo ago First seen · 164 lines · 118 tokens per session scan A e2af650dc55c

Subscribe to this mod's changes

framework-review is a skill published in the GitHub repository lync-cyber/CataForge (121 stars, last pushed 3mo ago), licensed MIT. It adds 118 tokens to every session and 5,028 once invoked, about $0.0005 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 2026-08-30.

Related

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