Audit Analysis
claesbackman/AI-research-feedback
Adversarially audit changed analysis code against a base ref, hunting for correctness errors in sample construction, merges, variable construction, silent failures, and clustering or fixed effects.
A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team…
Install Daymade Sector Research
$ npx skills add daymade/claude-code-skills --skill daymade-sector-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install daymade/claude-code-skills daymade-sector-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/daymade/claude-code-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/daymade-financial/daymade-sector-research .claude/skills/daymade-sector-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "daymade-sector-research" agent skill from https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-research into .claude/skills/daymade-sector-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "daymade-sector-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add daymade/claude-code-skills --skill daymade-sector-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install daymade/claude-code-skills daymade-sector-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/daymade/claude-code-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/daymade-financial/daymade-sector-research .agents/skills/daymade-sector-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "daymade-sector-research" agent skill from https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-research into .agents/skills/daymade-sector-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "daymade-sector-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add daymade/claude-code-skills --skill daymade-sector-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install daymade/claude-code-skills daymade-sector-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/daymade/claude-code-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/daymade-financial/daymade-sector-research .cursor/skills/daymade-sector-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "daymade-sector-research" agent skill from https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-research into .cursor/skills/daymade-sector-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "daymade-sector-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/daymade/claude-code-skills.git --path daymade-financial/daymade-sector-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add daymade/claude-code-skills --skill daymade-sector-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install daymade/claude-code-skills daymade-sector-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/daymade/claude-code-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/daymade-financial/daymade-sector-research .gemini/skills/daymade-sector-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "daymade-sector-research" agent skill from https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-research into .gemini/skills/daymade-sector-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "daymade-sector-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install daymade/claude-code-skills daymade-sector-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add daymade/claude-code-skills --skill daymade-sector-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/daymade/claude-code-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/daymade-financial/daymade-sector-research .github/skills/daymade-sector-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "daymade-sector-research" agent skill from https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-research into .github/skills/daymade-sector-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "daymade-sector-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add daymade/claude-code-skills --skill daymade-sector-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install daymade/claude-code-skills daymade-sector-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/daymade/claude-code-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/daymade-financial/daymade-sector-research .opencode/skills/daymade-sector-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "daymade-sector-research" agent skill from https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/daymade-sector-research into .opencode/skills/daymade-sector-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "daymade-sector-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
daymade-sector-research- GitHub stars
- 1.4k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 274 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 104
- Repo updated
- First seen
- Licence
- MIT
At a glance
A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team…
- Works in 5 steps: 数据能力侦察（Gangtise pivot 决策） → 并行三 agent → 公告检索 → …
- 「XX 行业 Top N/Top 10 标的」
- SKILL.md covers 铁律（每次执行都必须遵守，违反代价最高）, 工作流（五阶段） and 环境约束
- Runs Python scripts from its folder; calls python3, uv and curl; reaches finance.sina.com.cn
What it does
Daymade Sector Research is an agent skill from daymade/claude-code-skills. A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team execution with fresh-context adversarial verification. Use for 「XX 行业 Top N/Top 10 标的」, 「这些标的最近一周/一个月发过哪些公告」, 「判断 XX 行业/板块现在的市场情绪」, or 「用 Agent Team 做行业投研」/对抗验证行业研究结论。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/agent-orchestration.md`, `references/cninfo-announcements.md` and `references/gangtise-scout.md`).
It sits in Agent Workflows, covering Subagents and Reproducible research. The repository describes itself as: Professional Claude Code skills marketplace featuring production-ready skills for enhanced development workflows. The licence is MIT.
When your agent uses it
- 「XX 行业 Top N/Top 10 标的」
- 「这些标的最近一周/一个月发过哪些公告」
- 「判断 XX 行业/板块现在的市场情绪」
- 「用 Agent Team 做行业投研」/对抗验证行业研究结论
Example prompts
- “/daymade-sector-research”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 0e52df5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3uvcurl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
finance.sina.com.cn
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Daymade Sector Research loads about 1.1k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 274 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from daymade/claude-code-skills at commit 0e52df5, republished under its MIT licence (© daymade). 274 words, ~1,134 tokens.
Download SKILL.mdSave it as
.claude/skills/daymade-sector-research/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- daymade-sector-research
- description
- A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team execution with fresh-context adversarial verification. Use for 「XX 行业 Top N/Top 10 标的」, 「这些标的最近一周/一个月发过哪些公告」, 「判断 XX 行业/板块现在的市场情绪」, or 「用 Agent Team 做行业投研」/对抗验证行业研究结论。
- disable-model-invocation
- true
A股行业投研 Skill
对某个申万行业/东财板块做一次完整投研交付：Top N 涨幅标的 → 公告窗口检索 → 市场情绪判断 → Agent Team 对抗验证 → 综合报告。
铁律（每次执行都必须遵守，违反代价最高）
- 宁可标注不确定，不可给错误答案（用户原话，最高纪律）。没有十足把握的事实写「不确定/未核实」，不编、不猜、不省略来源。推断与观察必须分开表述。
- 基于证据、基于数据。每个结论 trace 到一手数据源（API 返回 / CSV 落盘 / 官方公告）；汇报数值时从工具输出原文照抄，禁凭印象转写。
- 证据分级 L1–L3：L1 一手行情（交易所/行情接口实时值）；L2 带时间戳的媒体/公告报道；L3 未核实标题或传闻。判断情绪时只允许 L1/L2 承重，L3 只能作为「待核实线索」列出。
- 0 条双向读：月窗口公告 0 条 ≠ 真无公告。必须扩宽窗（90 天）+ 第二数据源核对，证明「真无」或发现参数错误，才能下结论。
- 双源交叉：公告检索必须巨潮 + 东财两源对照；单一数据源发现的「重要公告」也要在另一源确认存在，不一致必须如实标注。
- 盘中快照标注漂移：盘中取的行情数值是瞬时快照会漂移，任何引用必须带快照时间戳，报告里注明「盘中快照」。
- 数值照抄落盘 CSV：中间数值必须落盘（脚本输出 CSV / agent 落盘文件），报告引用时照抄 CSV 值，不凭对话记忆。
- Agent Team 编排纪律：见 references/agent-orchestration.md——子代理显式
model:'sonnet'；SendMessage 交付协议；每条 finding 带可证伪锚点；验证用 fresh-context 对抗性 agent；禁 spawn 重复 agent。
工作流（五阶段）
Phase 0 数据能力侦察 → 必要时 pivot 公开源
Phase 1 并行三 agent：Top N 名单 / 涨跌幅分桶分布 / 情绪证据清单
Phase 2 公告检索：Top N 全标的 × 周窗口 + 月窗口，双源交叉
Phase 3 对抗验证：fresh-context agent 复核假设（用户原话：「看哪些假设是错的」）
Phase 4 综合报告：名单 + 公告 + 情绪分级 + 显式不确定标注Phase 0 — 数据能力侦察（Gangtise pivot 决策）
若用户点名 Gangtise（或其官方 skill），先侦察可用性再决定数据源：
- 对照实验判「额度」：同一凭据某些端点可用（如
quote.py、stockpool.py、get_industries.py）而内容搜索端点全报POINT_NOT_ENOUGH→ 这是积分不足的整体性解释，同一凭据一通一挂已否定「网络/配置问题」；若不同端点表现不一致，别急着下「额度耗尽」结论，做对照实验（换端点/换参数/最小请求）。 - pivot 决策表：内容搜索不可用 → Top N 改东财成分股+新浪快照；公告改 cninfo+东财；情绪改公开行情+媒体。侦察结论与 pivot 决策必须告知用户，不静默切换数据源。
- 完整侦察矩阵（各端点实测形态、积分报错、对照实验）→ references/gangtise-scout.md
Phase 1 — 并行三 agent
派 3 个并行 agent（显式 sonnet），每个 prompt 附可证伪锚点要求：
| Agent | 交付物 | 数据链 |
|---|---|---|
| Top N 名单 | top{N}_{board}_{日期}.csv | scripts/top_n_pipeline.py（东财成分股 → 新浪快照 → 涨幅排序） |
| 涨跌分桶分布 | distribution_{board}_{日期}.csv + 市场宽度结论 | 全板块快照按 6 分桶（>5%/2-5%/0-2%/0%/-2-0%/<-2%）+ up/down/flat 汇总，六桶 count 加和必须等于 total |
| 情绪证据清单 | 分层证据表（L1/L2/L3 各列） | 一手行情 + 媒体检索 |
行情与板块接口细节 → references/market-data.md；情绪证据方法与信源 → references/sentiment-evidence.md。
Phase 2 — 公告检索
对 Top N 全标的查公告，周窗口（近 7 天）与月窗口（近 31 天）互斥分桶：
# 脚本路径按本 skill 安装目录（SKILL.md 同级目录下的 scripts/）执行，示例用相对路径仅指 skill 包内
cd <本 skill 安装目录>
env -u http_proxy -u https_proxy -u all_proxy -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY \
python3 scripts/ann_query.py --codes 002219,600613,920946 \
--end 2026-08-13 --out-dir /path/out \
--universe-csv /path/top10_xxx.csv脚本内置：巨潮 orgId 一律 topSearch 解析（禁按市场自拼，深市双形态/沪市前导零/科创板 gfbj 均实测拼错即假阴）、B 股（900/200 开头）自动转对应 A 股代码检索、双源交叉与类型回填、两源翻页、月窗 0 条自动扩宽窗判据（宽窗最新日期 vs 月窗起点）、URL 抽查。orgId 陷阱与接口形态 → references/cninfo-announcements.md。
分桶规则：公告日期落在周窗口内标 1周，否则（仍在月窗口内）标 1月，互斥不重复。输出表头：股票代码,股票名称,公告标题,公告日期,公告类型(如有),公告URL,时间窗口(1周|1月)。
必做验证：① 双源交叉（巨潮 vs 东财）计数一致；② 0 条标的扩宽窗确认「真无」；③ 两源覆盖不完全一致（部分投关类公告仅东财有、部分巨潮也收录），东财独有条目补并集并按 URL 域名标注来源。
Phase 3 — 对抗验证（用户原话：「看哪些假设是错的」）
派 2 个 fresh-context 对抗性 agent（不 fork，不共享本会话上下文），各自带验证轴：
- 验证轴 1 · 方法论与数值：Top N 名单重算（独立重跑数据链）、分桶统计重算（六桶 count 加和 = total）、快照时间戳核对
- 验证轴 2 · 公告完整性与情绪证据强度：抽查公告月窗口是否漏检、情绪结论逐条检查是否 L1/L2 承重、有无未标注的推断
每个 agent 的 finding 必须带可证伪锚点（具体数值/URL/命令输出），prompt 中明令「编造不如标不确定」。验证结果在综合报告中单独成节：哪些假设被推翻、哪些被确认、哪些无法验证。编排细节 → references/agent-orchestration.md。
Phase 4 — 综合报告
交付结构：
- 数据源与 pivot 披露：用了哪些源、哪些不可用、为何 pivot
- Top N 名单：表格（排名/代码/名称/涨幅/价格/成交额）+ 快照时间戳
- 公告清单：周/月分桶，按标的聚合，标注来源与交叉验证结果
- 情绪判断：L1–L3 分层呈现，结论明确标注证据等级；证据不足的维度写「不确定：无 L1/L2 证据」
- 验证结果：对抗验证发现、假设推翻清单
- 不确定项清单：所有未达「十足把握」的条目显式列出
报告数值一律照抄落盘 CSV，禁止凭记忆转写。
环境约束
- 国内站点（东财/新浪/巨潮）curl/脚本必须去代理：
env -u http_proxy -u https_proxy -u all_proxy -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY - Python 用
uv run --no-project或系统 python3（脚本 stdlib only） - 新浪快照返回 GBK 编码，需 Referer
https://finance.sina.com.cn；东财公告接口可不带 Referer（实测）；北交所公告不单独走 bse.cn（官网接口三重失效，走巨潮 gfbj 通道） - 若 push2 域名解析进 198.18.0.0/15（代理 TUN fake-IP），去代理无效，须修代理分流或用
curl --resolve直连真实 IP（见 references/market-data.md）
© daymade, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (scripts, references) in daymade-financial/daymade-sector-research of daymade/claude-code-skills.
- SKILL.md
- references/agent-orchestration.md
- references/cninfo-announcements.md
- references/gangtise-scout.md
- references/market-data.md
- references/sentiment-evidence.md
- scripts/ann_query.py
- scripts/top_n_pipeline.py
Open the folder on GitHubat commit 0e52df5
Compare with similar skills
Daymade Sector Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Daymade Sector Research this skilldaymade/claude-code-skills | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Audit Analysisclaesbackman/AI-research-feedback | 495 | — | ~1.1k | Automated safety check: Notes | MIT | |
| Tech Article Reproducibilitymizchi/skills | 360 | — | ~1.4k | Automated safety check: Pass | None | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 7 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 37 repos | ~1.2k | Automated safety check: Pass | None | |
| Dispatching Parallel Agentsultralisp/ultralisp | 258 | 40 repos | ~1.5k | Automated safety check: Pass | None |
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Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
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Questions about Daymade Sector Research
What does Daymade Sector Research do?
A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team…. Daymade Sector Research is an agent skill from daymade/claude-code-skills. A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team execution with fresh-context adversarial verification.
When should I use Daymade Sector Research?
Daymade Sector Research fits situations like: 「XX 行业 Top N/Top 10 标的」; 「这些标的最近一周/一个月发过哪些公告」; 「判断 XX 行业/板块现在的市场情绪」; 「用 Agent Team 做行业投研」/对抗验证行业研究结论.
How do I install Daymade Sector Research in Claude Code?
Run `npx skills add daymade/claude-code-skills --skill daymade-sector-research -a claude-code`. Or copy the skill folder (daymade-financial/daymade-sector-research in daymade/claude-code-skills) into .claude/skills/daymade-sector-research in your project. Claude Code loads it when a task matches its description.
How do I install Daymade Sector Research in Codex?
Run `npx skills add daymade/claude-code-skills --skill daymade-sector-research -a codex`. Or copy the skill folder (daymade-financial/daymade-sector-research in daymade/claude-code-skills) into .agents/skills/daymade-sector-research in your project. Codex loads it when a task matches its description.
Can I use Daymade Sector Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add daymade/claude-code-skills --skill daymade-sector-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/daymade-sector-research, .gemini/skills/daymade-sector-research, .github/skills/daymade-sector-research and .opencode/skills/daymade-sector-research in your project.
What does Daymade Sector Research need to run?
Going by SKILL.md and its folder, Daymade Sector Research needs Python for the scripts in its folder and the command-line tools its instructions call (python3, uv and curl). Our summary lists: Python 3.
Does Daymade Sector Research access the network?
SKILL.md names 1 domain. In commands or code: finance.sina.com.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Daymade Sector Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Daymade Sector Research use?
Daymade Sector Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Daymade Sector Research use?
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.
What are the alternatives to Daymade Sector Research?
Skills that share tags, products or a category with Daymade Sector Research: Audit Analysis (claesbackman/AI-research-feedback, 495 stars), Tech Article Reproducibility (mizchi/skills, 360 stars), Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars) and Subagent Driven Development (Asvarox/allkaraoke, 261 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Daymade Sector Research?
daymade (a GitHub user) maintains it in daymade/claude-code-skills, which has 1,448 GitHub stars. The repository holds 104 skills in this directory. The repository was last updated on October 10, 2026.
Source: daymade/claude-code-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.