Agent skill

Semantic Discovery Agent

by HakunaSama in HakunaSama/SkillMiner

语义发现 Agent. An agent skill from HakunaSama/SkillMiner.

No licenceAuto-check passed

Install Semantic Discovery Agent

skills CLI
$ npx skills add HakunaSama/SkillMiner --skill semantic-discovery-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HakunaSama/SkillMiner semantic-discovery-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HakunaSama/SkillMiner.git skills-src && mkdir -p .claude/skills && cp -r skills-src/semantic-discovery-agent-skill .claude/skills/semantic-discovery-agent && rm -rf skills-src

Use ~/.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/

Facts

Skill name
semantic-discovery-agent
GitHub stars
100
Token cost
~1.9k tokens
SKILL.md length
418 words
Files
14 (incl. scripts, references, assets)
Skills in repo
3
Repo updated
First seen
Licence
None found

At a glance

语义发现 Agent. An agent skill from HakunaSama/SkillMiner.

  • Works in 11 steps: 当前样本包文件夹 → 全局 package_notes/ → :界定本次观察范围 → …
  • SKILL.md covers 一、输入, 二、输出, 三、证据优先级 and 四、你的核心任务, plus 9 more sections

What it does

Semantic Discovery Agent is an agent skill from HakunaSama/SkillMiner. 语义发现 Agent。 该 skill 的目标不是直接给出最终结论或唯一正确答案, 而是对“样本组织 Agent”提供的单个样本包进行局部开放归纳, 从主题文档中挖掘出可复用的决策单元 / 判断结构 / 流程逻辑, 产出一份面向后续“skill 编译”的详细语义分析报告。 本版本强调: - 领域无关:适用于任意主题文档(规章制度、操作流程、行业知识库等) - 每次只分析一个样本包 - 每次运行同时输入全局 packagenotes - 当前样本包是主要证据来源 - 当前样本包对应的 note 是第二证据来源 - 其他 packagenotes 只是辅助参照 - 先提出候选结构,再反驳不合适结构,再保留值得继续验证的结构 - 输出是一份详细 md 报告,而不是最终 skill

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts, reference files and assets (for example `assets/judgment_structure_template.md`, `assets/rebuttal_template.md` and `assets/report_filename_examples.md`).

Example prompts

  • “样本组织 Agent”
  • “skill 编译”
  • “/semantic-discovery-agent”

Workflow steps

11 steps, taken from the step headings in SKILL.md.

  1. 当前样本包文件夹
  2. 全局 package_notes/
  3. :界定本次观察范围
  4. :先分离“局部证据”和“全局背景”
  5. :列出本包反复出现的判断/操作单元
  6. :提出候选可复用单元
  7. :反驳每个候选单元
  8. :保留经得住反驳的单元
  9. :提出候选判断/流程结构
  10. :识别信息缺口
  11. :输出详细报告

What it can do on your machine

Read from SKILL.md and the folder at commit 56d4610. 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 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Semantic Discovery Agent loads about 1.9k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 418 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 418 words (~1,938 tokens).

name
semantic-discovery-agent

Read the full SKILL.md on GitHub

Files

SKILL.md and 13 other files (scripts, references, assets) in semantic-discovery-agent-skill of HakunaSama/SkillMiner.

  • SKILL.md
  • assets/judgment_structure_template.md
  • assets/rebuttal_template.md
  • assets/report_filename_examples.md
  • assets/report_template.md
  • assets/semantic_role_template.md
  • references/common-false-structures.md
  • references/evidence-priority.md
  • references/input-output-spec.md
  • references/judgment-structure-screening.md
  • references/local-vs-global-evidence-policy.md
  • references/output-contract.md
  • references/semantic-role-screening.md
  • scripts/README.md

Open the folder on GitHubat commit 56d4610

Compare with similar skills

Semantic Discovery Agent 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.

Semantic Discovery Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Semantic Discovery Agent this skillHakunaSama/SkillMiner100—~1.9kAutomated safety check: PassNone
Semantic Liststhedaviddias/Front-End-Checklist74k—~504Automated safety check: PassMIT
Semantic Versioningsickn33/agentic-awesome-skills47k1 repos~2.6kAutomated safety check: PassMIT
Semantic Kernelgithub/awesome-copilot40k1 repos~756Automated safety check: PassMIT
Html5 Semantic Elementsthedaviddias/Front-End-Checklist74k—~449Automated safety check: PassMIT
Bruin Semantic Layerbruin-data/bruin1.8k—~2.6kAutomated safety check: PassApache-2.0

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  • Semantic Lists

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Questions about Semantic Discovery Agent

What does Semantic Discovery Agent do?

语义发现 Agent. An agent skill from HakunaSama/SkillMiner. Semantic Discovery Agent is an agent skill from HakunaSama/SkillMiner.

How do I install Semantic Discovery Agent in Claude Code?

Run `npx skills add HakunaSama/SkillMiner --skill semantic-discovery-agent -a claude-code`. Or copy the skill folder (semantic-discovery-agent-skill in HakunaSama/SkillMiner) into .claude/skills/semantic-discovery-agent in your project. Claude Code loads it when a task matches its description.

How do I install Semantic Discovery Agent in Codex?

Run `npx skills add HakunaSama/SkillMiner --skill semantic-discovery-agent -a codex`. Or copy the skill folder (semantic-discovery-agent-skill in HakunaSama/SkillMiner) into .agents/skills/semantic-discovery-agent in your project. Codex loads it when a task matches its description.

Can I use Semantic Discovery Agent 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 HakunaSama/SkillMiner --skill semantic-discovery-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/semantic-discovery-agent, .gemini/skills/semantic-discovery-agent, .github/skills/semantic-discovery-agent and .opencode/skills/semantic-discovery-agent in your project.

What does Semantic Discovery Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Semantic Discovery Agent is instructions for the agent only.

Does Semantic Discovery Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Semantic Discovery Agent 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 Semantic Discovery Agent use?

No licence was found for Semantic Discovery Agent or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Semantic Discovery Agent use?

About 1.9k tokens (SKILL.md is roughly 7.8k 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 766 tokens, read only when the agent opens those files.

What are the alternatives to Semantic Discovery Agent?

Skills that share tags, products or a category with Semantic Discovery Agent: Semantic Lists (thedaviddias/Front-End-Checklist, 74k stars), Semantic Versioning (sickn33/agentic-awesome-skills, 47k stars), Semantic Kernel (github/awesome-copilot, 40k stars) and Html5 Semantic Elements (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Semantic Discovery Agent?

HakunaSama (a GitHub user) maintains it in HakunaSama/SkillMiner, which has 100 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on July 26, 2026.

Source: HakunaSama/SkillMiner on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.