Agent skill

Self Awareness

by xuzhougeng in xuzhougeng/wisp-science

Wisp-science's actual agent tool surface and runtime boundaries.

Apache-2.0Auto-check passedResearch & Science

Install Self Awareness

skills CLI
$ npx skills add xuzhougeng/wisp-science --skill self-awareness -a claude-code

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

GitHub CLI
$ gh skill install xuzhougeng/wisp-science self-awareness --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/xuzhougeng/wisp-science.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/self-awareness .claude/skills/self-awareness && 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
self-awareness
GitHub stars
1k
Token cost
~1.8k tokens
SKILL.md length
934 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Wisp-science's actual agent tool surface and runtime boundaries.

  • Works in 5 steps: shell executes short commands in fresh… → Persistent runtimes support interactive… → Use run_in_context for standalone… → …
  • Research & Science work in your project
  • SKILL.md covers Python and R boundary, Capability reference and Choosing the right execution…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/self-awareness”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. shell executes short commands in fresh processes; python and r retain
  2. Persistent runtimes support interactive analysis and reuse of loaded objects.
  3. Use run_in_context for standalone background, remote, or long-running work. Use
  4. Use explore when codebase understanding requires more than a couple of
  5. Use ordinary project files for inputs and outputs. Never fabricate an

What it can do on your machine

Read from SKILL.md and the folder at commit 2ba143b. 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

    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.

  • 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

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.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from xuzhougeng/wisp-science at commit 2ba143b, republished under its Apache-2.0 licence (© xuzhougeng). 934 words, ~1,847 tokens.

Download SKILL.mdSave it as .claude/skills/self-awareness/SKILL.md (or your agent's skills folder).
name
self-awareness
description
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.
license
Apache-2.0

Self-awareness — Wisp's actual capabilities

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.

Python and R boundary

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.

Capability reference

NeedWisp interfaceAvailability and boundary
Read, create, or patch project filesread, write, editOperate on normal filesystem paths within the granted workspace.
Find files or textsearch, grepUse before broad manual inspection.
Run a short commandshellUse for bounded foreground commands, not as a long-running job manager.
Interactive Python or R analysispython, rPersistent per conversation and execution context; no injected control-plane SDK.
Inspect a local imageview_imageExplicit tool call for a supported local image; this is not a Python method.
Track a multi-step planupdate_planUpdate task progress when a plan materially helps.
Present the completed resultattempt_completionWisp's normal completion path; there is no separate structured-output submission SDK.
Audit configured workflow guidancelist_skill_catalogPage through discovered/effective records and use its explicit counts.
Discover and load workflow guidancesearch_skills, use_skillSearch by task/domain, then load the exact returned skill name.
Search confirmed project notessearch_memoryAvailable 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 readingexploreRead-only sub-Agent with its own context and read/grep/search access.
Delegate general bounded tasksdelegate_tasksDesktop-only and capability-gated. Use it only when its schema is advertised; it is not callable from Python.
Read a truncated delegated resultget_delegated_resultDesktop-only and available with delegation. Use only when the compact result lacks necessary detail.
Submit long-running workrun_in_contextPersist a Run in local, ssh:<alias>, or wsl:<distro>. Prefer this over extending shell timeouts.
Read one Run snapshotget_runCall once for an immediate status check; never poll it in a loop.
Wait for a Runmonitor_runCall 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 Runcancel_runRequest cancellation through the persisted Run lifecycle.
Record project research objectsresearch_graphDesktop-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 storageconfigureDesktop-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 specialistsave_specialistDesktop-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 PythonNot availableContinue 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 lineageNot availableUse 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 toolNot availableWisp 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 DBNot availableUse only conversation context and tool results already provided. Do not claim access to hidden session tables or telemetry.
Show full SKILL.md (203 more words)Show less

Choosing the right execution path

  1. 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.
  2. Persistent runtimes support interactive analysis and reuse of loaded objects. Execute saved analysis with 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.
  3. Use 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.
  4. Use 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.
  5. Use ordinary project files for inputs and outputs. Never fabricate an artifact registry, lineage API, credential API, session database, or Python-side bridge for a capability that is not present.

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

Files

Just SKILL.md in skills/self-awareness of xuzhougeng/wisp-science.

Open the folder on GitHubat commit 2ba143b

Compare with similar skills

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.

Self Awareness compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Self Awareness this skillxuzhougeng/wisp-science1k—~1.8kAutomated safety check: PassApache-2.0
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
NetworkxzLanqing/codex-claude-academic-skills4.7k15 repos~3.2kAutomated safety check: PassBSD-3-Clause
Nature-Style Scientific FiguresYuan1z0825/nature-skills47k—~3.1kAutomated safety check: PassApache-2.0
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

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Works with

Questions about Self Awareness

What does Self Awareness do?

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.

When should I use Self Awareness?

Self Awareness fits situations like: research & Science work in your project.

How do I install Self Awareness in Claude Code?

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.

How do I install Self Awareness in Codex?

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.

Can I use Self Awareness 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 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.

What does Self Awareness need to run?

SKILL.md names no scripts, command-line tools or credentials: Self Awareness is instructions for the agent only. Our summary lists: Python 3.

Does Self Awareness 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 Self Awareness 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. Review the folder before installing.

What licence does Self Awareness use?

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.

How many tokens does Self Awareness use?

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.

What are the alternatives to Self Awareness?

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.

Who maintains Self Awareness?

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.