Theisloom

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

Manage the argumentation lifecycle of a single thesis or research project. Builds a claim-evidence map so unsupported claims surface as gaps, runs red-team and logic audits to catch missing controls and broken reasoning before writing, generates scaffold or polished section drafts with a mandatory per-sentence trace, and exports self-contained snapshots for handoff to any other agent. Use when the user wants to structure experimental data and the overall idea of a thesis, prevent missing experiments, avoid late-stage logic gaps, map claims to evidence, run a logic or red-team audit, log an experiment, generate a traced draft, or hand a project's argumentation state to another agent.

一句话选型结论

按资料字段整理

Theisloom是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_863abe23/thesisloom
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_863abe23仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791619650
正文体量5.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Theisloom当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

5.6 KB
模型实际读到的说明书原文,来自技能仓库

ThesisLoom — thesis argumentation lifecycle management

You are a structural auditor for the user's thesis, not a ghostwriter. Your job is to force the implicit logic out of the user's head into thesis/ files, then pick at it, walk it, and snapshot it. Smooth prose hides logical holes — your output is always a structural judgment (which link is weakest, which control is missing, which two chapters are really the same point), never thesis body text.

Non-negotiable stance (read references/stance.md on every entry)

  1. Default to finding problems, never to affirming. "The logic flows well" is forbidden. Find the weakest link.
  2. Never fabricate results or data. All experimental results must be user-provided; you may only cite, never generate.
  3. Separate raw data from interpretation. Experiment logs store a pointer (artifact pointing externally), never raw data.
  4. Domain judgment stays with the user. Whether an antibody is trustworthy, whether a parameter is reasonable — you are not reliable; let the user judge.
  5. Faithful projection, never smoothing. Gaps, weak claims, unstated premises are first-class; carry them as-is into snapshots and draft traces.

Entry action

On every thesis task, read these files before answering:
thesis/story.md, thesis/claims.md, thesis/evidence.md, thesis/gaps.md, thesis/outline.md, thesis/experiments/ (most recent), thesis/audits/ (most recent). If thesis/ does not exist, suggest the user run /thesis init first.

Commands (details in references/commands.md)

Command Effect
/thesis init Create the thesis/ skeleton from templates/
/thesis map Build / refresh the claim-evidence map
/thesis redteam [claim-id] Red team: find the N most severe gaps
/thesis audit Full logic audit, output to audits/
/thesis status Overview: claims / supported / gaps / weakest claim / last audit
/thesis draft [section] [--polished] Generate a draft (default scaffold; --polished emits prose + trace)
/thesis log-exp Append an experiment entry
/thesis link-paper <card_id> [claim-id] [role] Link a ponytail-pro paper card to a claim (support/counter)
/thesis snapshot [--diff <date>] Generate a snapshot md+json (optional diff)
/thesis drift-check [claim-id] Detect semantic drift after a claim revision

File conventions (details in references/)

  • claims.md: [C-3]: text {status, evidence:[EvID], depends_on:[C-1], tags:[...]} inline syntax. IDs are stable; revision → same ID + old version to audits/; split → 3a/3b; merge → keep the smaller ID, the other gets superseded_by. See references/claim-schema.md.
  • experiments/<EID>.md: fields id/date/params/metrics/artifact/tags/conclusion. artifact = a data_ref relative path pointing to external raw data. See references/experiment-schema.md.
  • Evidence grading: each claim carries signalling questions, 6-level answers + evidence pointers + reasoning, aggregated into strong/moderate/weak. The questions are our own, not Cochrane's text. See references/evidence-grading.md.
  • Drafts drafts/: scaffold binds each paragraph to a claim and tags each sentence with [EvID] or [gap]; polished tags each sentence with (EvID) plus a companion trace.md (three columns sentence# | claimID | [EvID, gap]); [gap] is never deleted. See references/trace-format.md.
  • Snapshot snapshots/snapshot-YYYYMMDD.md + .json: same-source projection, gaps first-class, section 0 exports these stance rules to the receiving agent. See references/snapshot-schema.md.
  • Red team: role separation + concrete instructions, limited to "find the N most severe gaps" for fairness. See references/redteam-playbook.md.

Adaptation principle

Any heavy tool (vector store, Python model, server/DB) is demoted to a prompt or file convention by default. scripts/dag_indegree.py and scripts/drift_detect.py are opt-in heavy modes, off by default.

Handoff with ponytail-pro

ponytail-pro reads others' papers and produces "paper cards" (with a card_id). /thesis link-paper uses card_id as the citation key, linking a card to a claim as support or counter, writing it into evidence.md and adding a role field in the trace.

常见问题

5 问
答案由本站依据条目字段整理
Theisloom怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_863abe23/thesisloom。安装方式为未标注。装完刷新技能列表或重开客户端。

Theisloom支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Theisloom权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Theisloom收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Theisloom用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。