GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Wisp-science's actual agent tool surface and runtime boundaries.
$ npx skills add xuzhougeng/wisp-science --skill self-awareness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xuzhougeng/wisp-science self-awareness --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/xuzhougeng/wisp-science.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/self-awareness .claude/skills/self-awareness && 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 "self-awareness" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/self-awareness into .claude/skills/self-awareness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-awareness", 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/xuzhougeng/wisp-science/tree/main/skills/self-awarenessType 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 xuzhougeng/wisp-science --skill self-awareness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xuzhougeng/wisp-science self-awareness --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/self-awareness .agents/skills/self-awareness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "self-awareness" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/self-awareness into .agents/skills/self-awareness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-awareness", 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 xuzhougeng/wisp-science --skill self-awareness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xuzhougeng/wisp-science self-awareness --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/self-awareness .cursor/skills/self-awareness && 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 "self-awareness" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/self-awareness into .cursor/skills/self-awareness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-awareness", 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/xuzhougeng/wisp-science.git --path skills/self-awareness--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 xuzhougeng/wisp-science --skill self-awareness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xuzhougeng/wisp-science self-awareness --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/self-awareness .gemini/skills/self-awareness && 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 "self-awareness" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/self-awareness into .gemini/skills/self-awareness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-awareness", 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 xuzhougeng/wisp-science self-awarenessInstalls 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 xuzhougeng/wisp-science --skill self-awareness -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/self-awareness .github/skills/self-awareness && 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 "self-awareness" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/self-awareness into .github/skills/self-awareness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-awareness", 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 xuzhougeng/wisp-science --skill self-awareness -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xuzhougeng/wisp-science self-awareness --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/self-awareness .opencode/skills/self-awareness && 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 "self-awareness" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/self-awareness into .opencode/skills/self-awareness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-awareness", 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.
self-awarenessWisp-science's actual agent tool surface and runtime boundaries.
Self Awareness is an agent skill from xuzhougeng/wisp-science. Wisp-science's actual agent tool surface and runtime boundaries. Load this when deciding which Wisp tool can perform a task, checking whether Python can reach agent or desktop capabilities, choosing between interactive analysis and persisted Runs, or answering questions about delegation, images, skills, memory, artifacts, lineage, credentials, session history, and other self-introspection capabilities.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. It works with Python. The repository describes itself as: Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2ba143b. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Self Awareness loads about 1.8k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 934 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 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); files beside SKILL.md are not scanned.
The full file from xuzhougeng/wisp-science at commit 2ba143b, republished under its Apache-2.0 licence (© xuzhougeng). 934 words, ~1,847 tokens.
.claude/skills/self-awareness/SKILL.md (or your agent's skills folder).Use only tools advertised in the current conversation. Wisp exposes agent and desktop capabilities as explicit tools; do not assume that an SDK documented by another application also exists here. Some tools are conditional on the desktop session, project settings, execution context, or capability grants. If a tool is not advertised, treat it as unavailable.
Use python for persistent Python analysis and r for persistent R analysis.
Their variables and imports persist per conversation and execution context
within the project/scope; parallel conversations do not share interpreter state.
In the desktop, an omitted context_id uses the conversation's selected default
context (falling back to local). Pass local, ssh:<alias>, or wsl:<distro>
explicitly when needed. The CLI's language runtimes are local.
The Python worker initializes an ordinary namespace with common standard-library
modules and any available convenience packages. It does not inject a Wisp
control-plane object. Code executed with python therefore cannot directly call
the agent model, spawn Agents, submit or monitor Runs, inspect Wisp credentials,
or query internal project/session metadata. Leave the Python cell and call the
corresponding Wisp tool instead.
| Need | Wisp interface | Availability and boundary |
|---|---|---|
| Read, create, or patch project files | read, write, edit | Operate on normal filesystem paths within the granted workspace. |
| Find files or text | search, grep | Use before broad manual inspection. |
| Run a short command | shell | Use for bounded foreground commands, not as a long-running job manager. |
| Interactive Python or R analysis | python, r | Persistent per conversation and execution context; no injected control-plane SDK. |
| Inspect a local image | view_image | Explicit tool call for a supported local image; this is not a Python method. |
| Track a multi-step plan | update_plan | Update task progress when a plan materially helps. |
| Present the completed result | attempt_completion | Wisp's normal completion path; there is no separate structured-output submission SDK. |
| Audit configured workflow guidance | list_skill_catalog | Page through discovered/effective records and use its explicit counts. |
| Discover and load workflow guidance | search_skills, use_skill | Search by task/domain, then load the exact returned skill name. |
| Search confirmed project notes | search_memory | Available only when project memory is enabled. New notes are proposed after a completed turn and require confirmation in the Wisp UI; there is no direct memory-write tool. |
| Delegate multi-file codebase reading | explore | Read-only sub-Agent with its own context and read/grep/search access. |
| Delegate general bounded tasks | delegate_tasks | Desktop-only and capability-gated. Use it only when its schema is advertised; it is not callable from Python. |
| Read a truncated delegated result | get_delegated_result | Desktop-only and available with delegation. Use only when the compact result lacks necessary detail. |
| Submit long-running work | run_in_context | Persist a Run in local, ssh:<alias>, or wsl:<distro>. Prefer this over extending shell timeouts. |
| Read one Run snapshot | get_run | Call once for an immediate status check; never poll it in a loop. |
| Wait for a Run | monitor_run | Call with the Run id to wait without polling get_run. If wait_interrupted is true, respond, then call monitor_run again; do not resubmit. |
| Cancel a Run | cancel_run | Request cancellation through the persisted Run lifecycle. |
| Record project research objects | research_graph | Desktop-only. Record data assets, papers, or decisions and link existing graph nodes; it is not a generic artifact browser. |
| Read or change app preferences, or show disk storage | configure | Desktop-only. get / set cover allowlisted appearance and general settings (font size, theme, custom_css, locale, compaction). storage reports this project's workspace plus app-data usage in the conversation. Secrets, API keys, model profiles, workspace directory, and proxy are not writable. For a restyle, load custom-theme then set custom_css. |
| Create or update a specialist | save_specialist | Desktop-only. Omit id to create; pass id from configure get specialists to update. Builtin instruction text stays pinned. Deletion remains in Settings. |
| Make an extra model call from Python | Not available | Continue through the normal agent turn. For bounded delegated work, use explore or advertised delegate_tasks. |
| Resolve artifact ids to paths, list a generic artifact store, or inspect lineage | Not available | Use ordinary project paths plus read/search/grep. Do not invent artifact ids, version ids, or lineage records. Run output registration is limited to the explicit output_specs contract of run_in_context. |
| Read credentials from Python or an agent tool | Not available | Wisp keeps secrets outside SQLite in its keyring path; no credential accessor is exposed to the agent. |
| Query frames, token/cost accounting, tool-call history, or the internal metadata DB | Not available | Use only conversation context and tool results already provided. Do not claim access to hidden session tables or telemetry. |
shell executes short commands in fresh processes; python and r retain
interpreter state across calls. Choose based on the user's workflow, state
reuse, script requirements, and task lifecycle. Use the selected environment
and keep reproducible source in project files with either method.script_path and required_objects when it
consumes existing bindings. Do not move it to a fresh process merely because
it takes time. Match execution to the script's process requirements.run_in_context for standalone background, remote, or long-running work. Use
monitor_run when the result is needed in the current task (again after
wait_interrupted; do not resubmit), or return the Run id for fire-and-forget
work.explore when codebase understanding requires more than a couple of
reads. Use delegate_tasks only when desktop delegation is currently
advertised and the work benefits from independent or parallel Agents.For SSH-direct details, load remote-compute-ssh; its Run workflow and current
limitations are the authoritative Wisp contract.
© xuzhougeng, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/self-awareness of xuzhougeng/wisp-science.
Open the folder on GitHubat commit 2ba143b
Self Awareness 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 |
|---|---|---|---|---|---|---|
| Self Awareness this skillxuzhougeng/wisp-science | 1k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| NetworkxzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| Nature-Style Scientific FiguresYuan1z0825/nature-skills | 47k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT |
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
zLanqing/codex-claude-academic-skills
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.
Yuan1z0825/nature-skills
Creates, revises, audits and exports manuscript-ready scientific figures in Python or R, and routes AI-generated graphical abstracts to a separate workflow.
K-Dense-AI/claude-scientific-writer
Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
xuzhougeng/wisp-science
A skill your agent uses when designing, reviewing, or implementing single-cell RNA-seq QC in Python or R with a human-in-the-loop, data-driven approach.
xuzhougeng/wisp-science
学术审查 / research-integrity screening of a manuscript's figures and reported numbers.
xuzhougeng/wisp-science
将概念、理论或分析方法类图书蒸馏为证据可追溯、经人工门禁审核且不暴露书名、作者、出版社等来源身份的任务型 Skill 候选。用于新建或恢复图书蒸馏、以本地 Tesseract 扫描 DOCX 全部内嵌图像或 Poppler 渲染的扫描 PDF 全页、建立 source map 与 evidence/claim/relation/capability…
xuzhougeng/wisp-science
Create, update, validate, and evaluate Wisp skills. An agent skill from xuzhougeng/wisp-science.
xuzhougeng/wisp-science
Build, audit, authorize, recover, or finalize dynamic Zotero citations and bibliographies in Microsoft Word DOCX files with a protected-source, digest-bound workflow.
xuzhougeng/wisp-science
Set up and validate a reproducible Python or R environment on a Wisp execution context.
Works with
Categories
Wisp-science's actual agent tool surface and runtime boundaries. Self Awareness is an agent skill from xuzhougeng/wisp-science. Wisp-science's actual agent tool surface and runtime boundaries.
Self Awareness fits situations like: research & Science work in your project.
Run `npx skills add xuzhougeng/wisp-science --skill self-awareness -a claude-code`. Or copy the skill folder (skills/self-awareness in xuzhougeng/wisp-science) into .claude/skills/self-awareness in your project. Claude Code loads it when a task matches its description.
Run `npx skills add xuzhougeng/wisp-science --skill self-awareness -a codex`. Or copy the skill folder (skills/self-awareness in xuzhougeng/wisp-science) into .agents/skills/self-awareness 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 xuzhougeng/wisp-science --skill self-awareness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/self-awareness, .gemini/skills/self-awareness, .github/skills/self-awareness and .opencode/skills/self-awareness in your project.
SKILL.md names no scripts, command-line tools or credentials: Self Awareness is instructions for the agent only. Our summary lists: Python 3.
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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Self Awareness is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Self Awareness: GitHub Deep Research (bytedance/deer-flow, 84k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
xuzhougeng (a GitHub user) maintains it in xuzhougeng/wisp-science, which has 1,026 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 10, 2026.
Source: xuzhougeng/wisp-science on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.