Claude Desktop Chinese Localization
javaht/claude-desktop-zh-cn
Adds missing Simplified and Traditional Chinese translations to the Claude Desktop Chinese patch across three layers, then checks how many mappings actually hit.
Run sentence-level traceability verification on a blog, then generate viewer.html with interactive evidence panel.
$ npx skills add QinghongLin/data2story-skill --skill inspector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install QinghongLin/data2story-skill inspector --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/QinghongLin/data2story-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data2story/inspector .claude/skills/inspector && 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 "inspector" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/inspector into .claude/skills/inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inspector", 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/QinghongLin/data2story-skill/tree/main/skills/data2story/inspectorType 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 QinghongLin/data2story-skill --skill inspector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install QinghongLin/data2story-skill inspector --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data2story/inspector .agents/skills/inspector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "inspector" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/inspector into .agents/skills/inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inspector", 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 QinghongLin/data2story-skill --skill inspector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install QinghongLin/data2story-skill inspector --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data2story/inspector .cursor/skills/inspector && 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 "inspector" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/inspector into .cursor/skills/inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inspector", 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/QinghongLin/data2story-skill.git --path skills/data2story/inspector--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 QinghongLin/data2story-skill --skill inspector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install QinghongLin/data2story-skill inspector --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data2story/inspector .gemini/skills/inspector && 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 "inspector" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/inspector into .gemini/skills/inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inspector", 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 QinghongLin/data2story-skill inspectorInstalls 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 QinghongLin/data2story-skill --skill inspector -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data2story/inspector .github/skills/inspector && 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 "inspector" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/inspector into .github/skills/inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inspector", 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 QinghongLin/data2story-skill --skill inspector -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install QinghongLin/data2story-skill inspector --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data2story/inspector .opencode/skills/inspector && 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 "inspector" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/inspector into .opencode/skills/inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inspector", 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.
inspectorRun sentence-level traceability verification on a blog, then generate viewer.html with interactive evidence panel.
Inspector is an agent skill from QinghongLin/data2story-skill. Run sentence-level traceability verification on a blog, then generate viewer.html with interactive evidence panel. No LLM needed — pure Python.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/error_logging.json`, `references/inspector_schema.json` and `references/viewer_internals.json`).
It sits in Frontend & Design. It works with Python. The repository describes itself as: Data Journalist Agent: Transforming Data into Verifiable Multimodal Story. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 63a55c1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteFrom allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Inspector loads about 697 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 263 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash(*), Read, WriteAutomated 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.
The full file from QinghongLin/data2story-skill at commit 63a55c1, republished under its MIT licence (© QinghongLin). 263 words, ~697 tokens.
.claude/skills/inspector/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Your job is traceability verification. Parse the blog HTML, extract every visible sentence, link each back to its evidence in the role JSONs, and generate a self-contained viewer.html that lets readers inspect the evidence chain.
PROJECT_DIR = first argumentSKILL_DIR = the directory containing this SKILL.md (.../skills/data2story/inspector). Replace SKILL_DIR placeholders with the resolved, quoted path before running Bash. Do not hard-code machine-local paths.index.html, analyst.json, detective.json, designer.json, editor.jsonpython3 SKILL_DIR/scripts/verify.py PROJECT_DIR --log-errorsProduces PROJECT_DIR/inspector.json (sentence→evidence mapping). The output shape (format v3: stats, sentences, unused_ids) is in references/inspector_schema.json.
python3 SKILL_DIR/scripts/generate_viewer.py PROJECT_DIRThis reads index.html + inspector.json and produces viewer.html — a self-contained file that works on file:// (no server needed). You run the script; you do not reimplement it. How it works (tag → style → script ordering), its critical constraints (line-number search, lite JSON, ES5, no fetch), and the viewer UI behavior are documented in references/viewer_internals.json.
python3 SKILL_DIR/scripts/verify.py PROJECT_DIR --log-errors
python3 SKILL_DIR/scripts/generate_viewer.py PROJECT_DIRPROJECT_DIR/inspector.json — full traceability data (with raw_evidence)PROJECT_DIR/viewer.html — self-contained interactive viewer (works on file://)Done when viewer.html opens directly in a browser (no server), shows the blog with a working 🔍 toggle, and every traced sentence has a visible ID linking to its evidence summary.
Running with --log-errors auto-updates known recurring-case metadata in skills/errors/ for patterns the script detects directly from HTML. Use manual logging only when you discover a new pattern the script does not know yet — and only for Critical/High-severity issues that represent patterns, not one-off mistakes. The full logging process, the error-case markdown template, and the common error types worth logging are in references/error_logging.json.
© QinghongLin, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts, references) in skills/data2story/inspector of QinghongLin/data2story-skill.
Open the folder on GitHubat commit 63a55c1
Inspector 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 |
|---|---|---|---|---|---|---|
| Inspector this skillQinghongLin/data2story-skill | 156 | — | ~697 | Automated safety check: Notes | MIT | |
| Claude Desktop Chinese Localizationjavaht/claude-desktop-zh-cn | 7.5k | — | ~1.6k | Automated safety check: Pass | MIT | |
| DocsPrefectHQ/fastmcp | 28k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Oil UIoil-oil/oil-ui | 1.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Language Injectionmicrosoft/data-formulator | 18k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Jarvis Setupethanplusai/jarvis | 843 | — | ~2.5k | Automated safety check: Notes | Custom licence |
javaht/claude-desktop-zh-cn
Adds missing Simplified and Traditional Chinese translations to the Claude Desktop Chinese patch across three layers, then checks how many mappings actually hit.
PrefectHQ/fastmcp
Write or revise a page under docs/ for gofastmcp.com. An agent skill from PrefectHQ/fastmcp.
oil-oil/oil-ui
Design, improve, and review interfaces for websites, apps, dashboards, and components: explore distinct design directions, compare styles side by side, and refine visual hierarchy against real…
microsoft/data-formulator
LLM Agent 多语言注入规范。在修改 Agent 提示词、添加新的 Agent 端点、处理用户可见的后端消息(messagecode)时使用。
ethanplusai/jarvis
A skill your agent uses when helping someone install, configure, or debug a fresh clone of JARVIS (this repo) — especially "the mic doesn't work", "JARVIS says his language systems are down", any…
langflow-ai/langflow
Batch-scan Langflow frontend routes for accessibility issues using the Python IBM Equal Access scanner (scripts/a11y/a11yscan.py) and produce JSON/Markdown/HTML reports.
QinghongLin/data2story-skill
Run sentence-level traceability verification on a Data2Story blog (verify.py - verifier.json), then emit the in-page Inspector panel (the reader-facing runnable verifier) + the verify/ artifacts…
QinghongLin/data2story-skill
Audit a generated Data2Story blog for build correctness across ALL modalities by ACTUALLY RENDERING it in a real headless browser (when available) — catching blank/0-width charts, broken/oversized…
QinghongLin/data2story-skill
Review a finished Data2Story blog against the 5 quality rubric dimensions (visualdesign, narrativepacing, datamethodtransparency, claimdataalignment, insightvalue), score each 1-7 with on-page…
QinghongLin/data2story-skill
Research external context for a dataset — domain background, history, related studies, and why this data matters.
QinghongLin/data2story-skill
A skill your agent uses to turn a dataset into a verifiable multimedia blog (a data story / data-driven article / interactive dashboard from a dataset).
QinghongLin/data2story-skill
Generate text embeddings via OpenRouter using Qwen3-Embedding-8B.
Works with
Categories
Run sentence-level traceability verification on a blog, then generate viewer.html with interactive evidence panel. Inspector is an agent skill from QinghongLin/data2story-skill.html with interactive evidence panel.
Inspector fits situations like: frontend & Design work in your project.
Run `npx skills add QinghongLin/data2story-skill --skill inspector -a claude-code`. Or copy the skill folder (skills/data2story/inspector in QinghongLin/data2story-skill) into .claude/skills/inspector in your project. Claude Code loads it when a task matches its description.
Run `npx skills add QinghongLin/data2story-skill --skill inspector -a codex`. Or copy the skill folder (skills/data2story/inspector in QinghongLin/data2story-skill) into .agents/skills/inspector in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add QinghongLin/data2story-skill --skill inspector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inspector, .gemini/skills/inspector, .github/skills/inspector and .opencode/skills/inspector in your project.
Going by SKILL.md and its folder, Inspector needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Write.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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.
Inspector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 697 tokens (SKILL.md is roughly 2.8k 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 1.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Inspector: Claude Desktop Chinese Localization (javaht/claude-desktop-zh-cn, 7.5k stars), Docs (PrefectHQ/fastmcp, 28k stars), Oil UI (oil-oil/oil-ui, 1.1k stars) and Language Injection (microsoft/data-formulator, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
QinghongLin (a GitHub user) maintains it in QinghongLin/data2story-skill, which has 156 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on July 5, 2026.
Source: QinghongLin/data2story-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.