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X Algo Claim Reviewer

作者 Zakhar Pashkin · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
133
总下载
0
收藏
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当前安装
3
版本数
在 OpenClaw 中安装
/install x-algo-claim-auditor
功能描述
Review public claims about xai-org/x-algorithm, the X For You algorithm, Phoenix, Grox, Home Mixer, engagement weights, filters, ads blending, or viral algor...
使用说明 (SKILL.md)

X Algo Claim Auditor

Use this skill to review public claims against public X algorithm source evidence. The goal is a defensible verdict, not growth advice or live-platform prediction.

Review Workflow

  1. Extract the exact claim from the user, screenshot text, public post, or pasted text.
  2. Identify which public repository, commit, file, or public citation is being used as evidence.
  3. Classify the claim as supported, misleading, unsupported, or not_public_repo.
  4. Cite the strongest public evidence and state what the evidence does not prove.
  5. Flag overclaims about exact multipliers, production equivalence, private thresholds, account treatment, shadowbans, or draft-post reach prediction.
  6. If the user wants a share card or public summary, keep it cautious and avoid implying that the public repo fully predicts live platform behavior.

Verdict Meanings

  • supported: public source directly supports the narrow claim.
  • misleading: public source supports a weaker statement, but the claim overstates precision, production equivalence, or causality.
  • unsupported: no public source evidence was found for the claim.
  • not_public_repo: the claim depends on production configs, private thresholds, account state, or live ranking behavior absent from public source.

Boundaries

  • Do not claim that the public repo is the full live production system.
  • Do not score draft posts, promise reach, or diagnose account-specific boosting or suppression.
  • Do not request private account data, authenticated pages, non-public analytics, or account access.
  • Do not upload, release, schedule, or operate authenticated sessions as part of this review.
  • Do not execute local scripts or clone repositories unless the user separately asks for engineering work.

Output Shape

Return:

  • Claim: the exact claim being reviewed.
  • Verdict: supported, misleading, unsupported, or not_public_repo.
  • Evidence: source-backed points, with paths or public citations when available.
  • Boundary: what the evidence does not prove.
  • Public wording: a safer public-safe rewrite when useful.

Use open-feed-recsys-lab when the task is broader repository verification, Phoenix artifact readiness, or architecture mapping. Use tinytroupe-feed-research-lab when the task is draft comparison or synthetic audience reaction review.

安全使用建议
This looks safe to install for public-source claim review. Users should still verify cited sources themselves and avoid providing private account data, authenticated pages, or non-public analytics, which the skill itself says not to request.
功能分析
Type: OpenClaw Skill Name: x-algo-claim-auditor Version: 1.0.2 The skill bundle is designed for auditing public claims regarding the X algorithm based on public source code. The instructions in SKILL.md include explicit safety boundaries that prohibit requesting private data, accessing authenticated sessions, or executing local scripts. No indicators of malicious intent, data exfiltration, or unauthorized access were found in the provided files.
能力评估
Purpose & Capability
The stated purpose and instructions align: review public claims using public evidence and provide cautious verdicts rather than account analysis or growth advice.
Instruction Scope
The skill sets clear boundaries against private account data, authenticated pages, account operations, reach prediction, and local script execution unless separately requested as engineering work.
Install Mechanism
There is no install spec, no code package, no required binaries, and no package or script execution path.
Credentials
No environment variables, credentials, config paths, or capability tags are required, which is proportionate for an instruction-only public-claim review skill.
Persistence & Privilege
The artifacts show no persistence mechanism, privileged access, background behavior, account access, or stored memory use.
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 x-algo-claim-auditor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /x-algo-claim-auditor 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
v1.0.2
Republish public package as instruction-only claim review.
v1.0.1
Clarify that draft-post pretesting should route to tinytroupe-feed-research-lab, not claim auditing.
v1.0.0
Initial release: audit viral X algorithm claims against public source with verdicts, evidence ledgers, and share cards.
元数据
Slug x-algo-claim-auditor
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

X Algo Claim Reviewer 是什么?

Review public claims about xai-org/x-algorithm, the X For You algorithm, Phoenix, Grox, Home Mixer, engagement weights, filters, ads blending, or viral algor... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 133 次。

如何安装 X Algo Claim Reviewer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install x-algo-claim-auditor」即可一键安装,无需额外配置。

X Algo Claim Reviewer 是免费的吗?

是的,X Algo Claim Reviewer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

X Algo Claim Reviewer 支持哪些平台?

X Algo Claim 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 X Algo Claim Reviewer?

由 Zakhar Pashkin(@zack-dev-cm)开发并维护,当前版本 v1.0.2。

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