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Open Feed Recsys Reviewer

作者 Zakhar Pashkin · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install open-feed-recsys-lab
功能描述
Review open feed recommendation repositories with source-backed evidence, artifact-readiness checks, and cautious architecture summaries. Use when a user ask...
使用说明 (SKILL.md)

Open Feed Recsys Lab

Use this skill to review public feed recommendation repositories and separate what the source supports from what remains unproven.

Default target: https://github.com/xai-org/x-algorithm.

Review Workflow

  1. Confirm the target repository, commit, public link, or user-provided file set.
  2. Build an evidence ledger with repository/ref, files inspected, supported claims, weak claims, and open questions.
  3. Separate source inspection from runnable-model proof. If Phoenix artifacts are missing, say execution is not verified.
  4. Map the visible architecture: Home Mixer, Phoenix retrieval/ranking, Thunder, Grox, ads blending, and candidate pipelines when present.
  5. Treat public algorithm claims as hypotheses. Mark each claim supported, partly_supported, unsupported, or not_public_repo.
  6. Frame shareable output around reproducibility and evidence. Do not present the public source as a reach predictor or full live-platform clone.

Phoenix Artifact Readiness

Only treat Phoenix execution as verified after the official artifacts are present and the user has supplied a local run result. The expected extracted directory is:

phoenix/artifacts/oss-phoenix-artifacts/

Expected files include:

  • retrieval/model_params.npz
  • retrieval/embedding_tables.npz
  • retrieval/config.json
  • ranker/model_params.npz
  • ranker/embedding_tables.npz
  • ranker/config.json
  • sports_corpus.npz
  • example_sequence.json

If the report says Phoenix is not run-ready, state that source inspection succeeded but execution is blocked by missing extracted LFS artifacts.

Boundaries

  • Use public source or user-provided local files only.
  • Do not request or inspect private user data, authenticated account pages, or non-public analytics.
  • Do not promise reach, ranking, virality, revenue, or live-platform equivalence.
  • Do not claim that public source contains every production weight, threshold, model version, or serving rule.
  • Do not execute repository code or delete local files as part of a review unless the user separately asks for that engineering work.

Output Shape

Return a concise review with:

  • Target: repo, ref, and source date when known.
  • Supported: claims backed by public source.
  • Blocked: missing artifacts, missing configs, or live-platform gaps.
  • Architecture: short component map.
  • Risks: overclaims, ambiguous evidence, or unsafe product positioning.
  • Next check: the smallest concrete verification step.

The preferred public-safe framing is:

I verified the open X For You algorithm locally at commit \x3Csha>; here is the report.

Companion Skills

Use x-algo-claim-auditor when the user asks whether a public claim, screenshot text, or viral thread is supported by the source.

Use tinytroupe-feed-research-lab when the user asks to compare draft posts, simulate audience reactions, or pretest a post before publishing. Keep that work labeled as synthetic audience research, not source verification or reach prediction.

安全使用建议
This skill appears safe to install for source-backed reviews of public recommender-system repositories. As with any repo-review skill, only provide local files you intend the agent to inspect, and separately approve any engineering work if you later ask it to run code.
功能分析
Type: OpenClaw Skill Name: open-feed-recsys-lab Version: 1.0.4 The skill bundle is designed to analyze open-source recommendation system repositories, specifically targeting the X (formerly Twitter) algorithm. The instructions in SKILL.md emphasize evidence-based reporting, artifact verification, and explicitly forbid accessing private user data or executing code without permission. No indicators of malicious intent, data exfiltration, or unauthorized execution were found.
能力评估
Purpose & Capability
The stated purpose and instructions are coherent: review public feed recommendation repositories, distinguish supported from unsupported claims, and summarize architecture cautiously.
Instruction Scope
The skill explicitly limits review to public source or user-provided files and tells the agent not to inspect private data, authenticated pages, or non-public analytics.
Install Mechanism
There is no install spec, no required binaries, no code files, and no package installation behavior.
Credentials
No environment variables, credentials, network services, or elevated local permissions are requested.
Persistence & Privilege
The artifacts do not show persistence, background execution, credential use, or privilege escalation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install open-feed-recsys-lab
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /open-feed-recsys-lab 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.4
Add companion routing for claim audits and TinyTroupe-inspired synthetic draft research.
v1.0.3
Republish public package as a source-backed review skill with narrowed ClawHub files.
v1.0.2
Add companion claim-auditor routing guidance while preserving the reproducibility report workflow.
v1.0.1
Align public license metadata with ClawHub MIT-0 registry display after the initial release.
v1.0.0
Initial public release for commit-pinned reports, Phoenix artifact checks, documentation mismatch detection, and architecture maps for open feed recommendation repos.
元数据
Slug open-feed-recsys-lab
版本 1.0.4
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 5
常见问题

Open Feed Recsys Reviewer 是什么?

Review open feed recommendation repositories with source-backed evidence, artifact-readiness checks, and cautious architecture summaries. Use when a user ask... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 123 次。

如何安装 Open Feed Recsys Reviewer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install open-feed-recsys-lab」即可一键安装,无需额外配置。

Open Feed Recsys Reviewer 是免费的吗?

是的,Open Feed Recsys Reviewer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Open Feed Recsys Reviewer 支持哪些平台?

Open Feed Recsys Reviewer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Open Feed Recsys Reviewer?

由 Zakhar Pashkin(@zack-dev-cm)开发并维护,当前版本 v1.0.4。

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