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framework-feedback

framework-feedback is a skill for Claude Code from lync-cyber/CataForge. It costs 128 tokens per session (1,653 once invoked), scanned A, original, MIT.

A Chinese-language skill that packages problems, suggestions, corrections, and upstream differences in the CataForge framework into a Markdown report. CataForge is a framework with a command-line tool, templates, agents, skills, hooks, and documentation.

In plain words
What is it for?
Use it to collect version and diagnostic details, recent event records, correction-log entries, and review failures, then print, save, copy, or optionally submit the resulting feedback bundle.
Why use it?
It gives maintainers a consistent, privacy-filtered record of framework issues without mixing them with feedback about the downstream project using CataForge.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

not rated 128repo 2mo ago A scan SkillSpector: pass 128 tokens original MIT

Good fit Use it to collect version and diagnostic details, recent event records, correction-log entries, and review failures, then print, save, copy, or optionally submit the resulting feedback bundle.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lync-cyber/cataforge/framework-feedback
View source ↗ lync-cyber/CataForge
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-feedback
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-feedback

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lync-cyber/cataforge/framework-feedback"><img src="https://agentmods.dev/badge/skills/lync-cyber/cataforge/framework-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,653 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 pass 7 Sept 2026
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 $0.00128 $0.01653
Opus 5.5 $0.00051 $0.00661
Sonnet 5.5 $0.00026 $0.00331
Haiku 4.5 $0.00013 $0.00165

Measured 1mo ago against content hash 86e8759cd9da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

framework-feedback 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.

.cataforge/skills/framework-feedback/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

框架反馈打包 (framework-feedback)

能力边界

  • 能做: 聚合 cataforge --version + doctor + 最近 N 条 EVENT-LOG + CORRECTIONS-LOG deviation=upstream-gap + framework-review Layer 1 FAIL 摘要；渲染为 markdown；脱敏路径；通过 --print / --out / --clip / --gh 四选一发出
  • 不做: 修复发现的问题（仅打包反馈）；处理下游项目自身的产品反馈（与本 skill 无关）；自动发起 GitHub issue（除非显式 --gh，且需本机已装并登录 gh）

输入规范

  • kind: bug | suggest | correction-export
  • 项目根下的 .cataforge/ + docs/EVENT-LOG.jsonl + docs/reviews/CORRECTIONS-LOG.md（任一缺失都降级为部分 bundle，不阻断）
  • cataforge.core.feedback（assembler；CLI 与本 skill 共用同一份逻辑）

输出规范

  • 默认: stdout 渲染 markdown body
  • --out PATH: 写到指定文件（相对路径解析在项目根下）
  • 上游 issue 模板: .github/ISSUE_TEMPLATE/feedback-from-cli.yml（字段与本 bundle 一一对应，方便上游分诊）
  • EVENT-LOG: 每次运行写一条 state_change 事件（record-to-event-log: true），ref=skill:framework-feedback/framework_feedback

推荐触发路径

framework-feedback 是按需触发的反馈打包 skill，不进入业务流程主循环。推荐的合规触发面：

  • 用户手动: cataforge feedback bug --gh（或 suggest / correction-export）
  • orchestrator 自动: 当累计 upstream-gap 数 ≥ RETRO_TRIGGER_UPSTREAM_GAP_DEFAULT 时，orchestrator 调起 cataforge skill run framework-feedback -- correction-export --out docs/feedback/<ts>.md（reflector 只读，本 skill 需要 shell_exec，故由 orchestrator 持有）。落盘后由用户决定是否上报
  • doctor 报告 FAIL 后: cataforge feedback bug --print | tee docs/feedback/doctor-fail-<ts>.md
  • 不要: 让 reviewer / implementer 在业务流程内自动调起（与业务 review 报告不是同一资源）

操作指令: 上游反馈打包 (feedback)

Step 1: 触发选择 kind

  • 出现可复现 bug / 异常退出 / 部署后失败 → bug
  • 框架行为符合预期但流程笨重 / 缺特性 → suggest
  • 累计多条 deviation=upstream-gap 纠偏 → correction-export

Step 2: 调用 Layer 1 打包脚本

调用约定（单一入口）: 一律通过 cataforge skill run framework-feedback -- <kind> [--summary ...] 触发，由框架解析 SKILL.md 元数据并派发到 builtin 脚本。不得直接 python .cataforge/skills/.../scripts/*.py——该路径为框架内部实现细节，不保证存在。

执行示例:

# bug 反馈到 stdout
cataforge skill run framework-feedback -- bug --summary "deploy 后 hook 不触发"

# 建议写盘等待复核
cataforge skill run framework-feedback -- suggest \
    --summary "希望支持 --dry-run 预览" \
    --out docs/feedback/suggest-$(date +%Y%m%d).md

# 上游反馈聚合 (仅当 upstream-gap 数 ≥ threshold；缺省 threshold = RETRO_TRIGGER_UPSTREAM_GAP_DEFAULT)
cataforge skill run framework-feedback -- correction-export

Read the full file on GitHub · 90 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. 1mo ago First seen · 90 lines · 128 tokens per session scan A 86e8759cd9da

Subscribe to this mod's changes

framework-feedback is a skill published in the GitHub repository lync-cyber/CataForge (128 stars, last pushed 2mo ago), licensed MIT. It adds 128 tokens to every session and 1,653 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.

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