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渗透工具速查 — 编码解码、反向Shell、红队工具、漏洞利用、密码攻击、内网工具、凭据窃取、提权、隧道代理、系统命令、信息收集、域渗透、Web工具、Windows工具

编码解码与加解密工具 — base64/URL/Hex/HTML实体编码解码，MD5/SHA哈希，AES/DES/RSA加解密，JWT解析，Caesar/ROT13密码，栅栏/Vigenere密码，Unicode转义，Morse电码等

Use OpenBiliClaw's versioned Agent Bridge CLI to read multi-source recommendations, profile state, dialogue, probes, saved lists, and submit explicit feedback.

Use when authoring a spec or implementation plan, or planning multi-task work.

Add, repair, or validate an OpenBiliClaw platform source across fetching, account signals, discovery, and user surfaces. Use for source-specific integration work and its acceptance; exclude unrelated UI, recommendation-algorithm, or release-only work.

Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.

Use when deciding what to record with working_memory_note, when the user says "remember this" or corrects you, or when a Crystal Pointer matches the topic. Not for answering from memory (use memory_search).

Use when web_fetch returns HTTP 402, an API offers a paid tier or micro-toll, another agent charges USDC, or the user asks you to pay, tip or buy. Not for a plain balance or address check (call the wallet tool directly).

Start voice calls via the Bitterbot voice-call plugin.

Use when you need to control Slack from Bitterbot via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.

Local text-to-speech via sherpa-onnx (offline, no cloud)

Search and analyze your own session logs (older/parent conversations) using jq.

Use when a tool error begins with "INTERCEPTOR:", a sent message was silently hedged or rewritten, or the user asks about active guards or blocked actions. Not for ordinary tool errors.

Participate in Moltbook — the social network for AI agents. Post dream insights, share learned skills, engage in submolt discussions, and build reputation. Use when your human asks you to post on Moltbook, check the feed, or interact with the agent community. Also used during heartbeats for periodic social engagement.

Use when the user asks how your memory, dreams, hormones or knowledge crystals work, or when you need to interpret memory_status output. Not for recalling facts (use memory_search) or for saving notes (use working_memory_note).

Host security hardening and risk-tolerance configuration for Bitterbot deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, Bitterbot cron scheduling for periodic checks, or version status checks on a machine running Bitterbot (laptop, workstation, Pi, VPS).

Use when anyone asks about bounties (or "forge"), agent earnings, the agent economy, marketplace skills, A2A activity or your network reputation. Not for wallet balances or payments (use the wallet tool).

Send, read, edit, delete, and search Discord messages, reactions, polls, pins, and threads via the message tool. Use when interacting with Discord channels, sending media or embeds, creating polls or threads, managing presence, or moderating messages.

Use when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target. Not for plain fact recall (use memory_search).

Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.

Use before calling the circles tool, when the user asks about their circles (connections, presence, messages, tab, briefing, asks) or wants to write to one. Not for P2P peers or bounties.

Display and control HTML content on connected Bitterbot nodes (Mac, iOS, Android) via the canvas host server. Use when presenting games, visualizations, dashboards, or interactive demos on a connected device, navigating canvas URLs, capturing canvas snapshots, or debugging canvas connectivity.

Use when you need to send or manage iMessages via BlueBubbles (recommended iMessage integration). Calls go through the generic message tool with channel="bluebubbles".

A CLI tool for making authenticated requests to the X (Twitter) API. Use this skill when you need to post tweets, reply, quote, search, read posts, manage followers, send DMs, upload media, or interact with any X API v2 endpoint.

World Bank Open Data API for development indicators. Use when: user asks about GDP, population, poverty, health, or education statistics by country. NOT for: real-time financial data or stock prices.

Query Wikidata for structured knowledge using SPARQL and entity search. Use when: (1) finding structured facts about entities (people, places, organizations), (2) querying relationships between entities, (3) cross-referencing external identifiers (Wikipedia, VIAF, GND, ORCID), (4) building knowledge graphs from linked data. NOT for: full-text article content (use Wikipedia API), scientific literature (use semantic-scholar), geospatial data (use OpenStreetMap).

Start voice calls via the OpenClaw voice-call plugin.

Create publication-quality scientific figures and plots using Python (matplotlib, seaborn, plotly). Supports bar charts, scatter plots, heatmaps, box plots, violin plots, survival curves, network graphs, and more. Use when user asks to plot data, create figures, make charts, visualize results, or generate publication-ready graphics. Triggers on "plot", "chart", "figure", "graph", "visualize", "heatmap", "scatter plot", "bar chart", "histogram".

Query the UniProt REST API for protein sequences, function annotations, structure info, and cross-references. Use when the user needs protein data, gene-to-protein mapping, functional annotation, or FASTA sequences. NOT for nucleotide sequences (use NCBI), 3D structure files (use PDB), or pathway data (use KEGG).

HuggingFace Transformers for model inference. Use when: text classification, NER, question answering, summarization, embeddings, zero-shot classification. NOT for: training large models (use cloud), simple regex/rule-based tasks, production serving at scale (use vLLM).

Orchestrates a systematic review and meta-analysis workflow following PRISMA 2020 guidelines, from protocol development through multi-database search, screening, data extraction, and evidence synthesis. Use when conducting evidence-based reviews, meta-analyses, or scoping reviews. NOT for single-study analysis or narrative literature surveys.

Symbolic mathematics via SymPy. Use when: user asks for algebraic manipulation, calculus, equation solving, or mathematical proofs. NOT for: numerical computation (use scipy) or statistical analysis.

Statistical analysis via statsmodels. Use when: user asks for regression, hypothesis testing, or time series analysis. NOT for: machine learning models or deep learning.

Advanced statistical testing including hypothesis testing, Bayesian analysis, survival analysis, time series, multivariate methods, and meta-analysis. Use when user needs specific statistical tests beyond basic EDA, power analysis, Bayesian inference, survival curves, time series forecasting, or meta-analysis. Triggers on "hypothesis test", "Bayesian", "survival analysis", "time series", "meta-analysis", "bootstrap", "permutation test", "mixed model", "structural equation".

Search social science research papers across SSRN, RePEc/IDEAS, CrossRef, and Semantic Scholar. Use when: (1) finding working papers in economics, finance, law, or political science, (2) searching RePEc for economics papers, (3) querying CrossRef for social science journal articles, (4) retrieving citation metadata for social science research. NOT for: natural sciences (use arxiv-search or pubmed-search), computer science preprints (use arxiv-search), general academic search (use semantic-scholar).

Natural language processing with spaCy. Use when: (1) named entity recognition, (2) POS tagging and dependency parsing, (3) text tokenization and linguistic analysis, (4) rule-based pattern matching, (5) custom NER pipelines. NOT for: LLM inference or text generation (use transformers), sentiment analysis at scale (use dedicated models), or machine translation.

Orchestrates a social science research workflow from literature review through data collection, text analysis, statistical modeling, and report generation. Use when conducting empirical social science research, policy analysis, or mixed-methods studies. NOT for pure natural science analysis or clinical trial data.

Social science research methods including survey design, qualitative analysis, content analysis, network analysis, psychometrics, and mixed methods. Covers sociology, psychology, political science, education, and communication studies. Use when user designs surveys, analyzes qualitative data, does content analysis, builds scales, or uses mixed methods. Triggers on "survey design", "qualitative analysis", "content analysis", "Likert scale", "thematic analysis", "grounded theory", "factor analysis", "SEM", "structural equation", "psychometrics", "interview coding".

Use when you need to control Slack from OpenClaw via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.

Track and improve skill effectiveness over time using VOYAGER-style skill library patterns. Use when: analyzing which tools/strategies worked best, proposing skill improvements, or storing reusable research patterns. NOT for: active research tasks or immediate problem-solving.

Performs signal processing tasks including spectral analysis (FFT), digital filtering, time-frequency decomposition, noise reduction, and modulation/demodulation; trigger when users discuss waveforms, frequency spectra, filters, or time series in engineering contexts.

Local text-to-speech via sherpa-onnx (offline, no cloud)

Search and analyze your own session logs (older/parent conversations) using jq.

Search Semantic Scholar for academic papers across all disciplines with citation graph analysis. Use when: (1) finding papers across disciplines, (2) citation/reference graph traversal, (3) author search, (4) paper recommendations, (5) large-scale bibliometric analysis. NOT for: specific database access (use pubmed for biomedical, arxiv for preprints).

Scientific computing and statistical analysis with SciPy, NumPy, and pandas. Use when: (1) statistical hypothesis testing, (2) optimization problems, (3) signal processing, (4) numerical integration, (5) data manipulation and analysis. NOT for: symbolic math (use sympy-math), machine learning (use sklearn directly), or visualization (use matplotlib-viz).

Machine learning with scikit-learn. Use when: classification, regression, clustering, dimensionality reduction, model evaluation, feature engineering. NOT for: deep learning (use transformers/pytorch), time series forecasting (use statsmodels), big data (use spark).

Summarize and simplify scientific literature, educational content, and research papers

Retrieve and recommend relevant documents from financial, historical, and scientific archives

Mathematical and physical reasoning with formal proof construction and problem solving

Predict material properties, economic indicators, and scientific outcomes using computational models

Generate scientific code, protocols, and domain-specific text with quality control

Classify scientific objects, detect patterns, and categorize data across astronomy, biology, and social sciences

Verify scientific claims, check calculations, validate experimental designs, and fact-check citations. Use when: (1) checking a claim against evidence, (2) validating statistical analyses, (3) verifying experimental reproducibility claims, (4) fact-checking references, (5) adversarial review of research. NOT for: generating new content (use scienceclaw-generation), simple QA (use scienceclaw-qa).

Summarize scientific papers, datasets, experimental results, and literature reviews. Use when: (1) condensing research papers, (2) creating literature reviews, (3) summarizing experimental findings, (4) meta-analysis synthesis, (5) creating executive summaries of research. NOT for: information extraction (use scienceclaw-ie), full paper retrieval (use scienceclaw-retrieval), or writing new content (use scienceclaw-generation).

Retrieve scientific information from databases, literature, and knowledge bases. Use when: (1) finding relevant papers, (2) querying scientific databases, (3) cross-referencing findings, (4) building bibliographies, (5) systematic literature search. NOT for: answering questions (use scienceclaw-qa), summarizing (use scienceclaw-summarization), or data analysis (use code-execution skill).

Perform multi-step scientific reasoning, proof construction, causal inference, and logical argumentation. Use when: (1) deriving conclusions from premises, (2) causal analysis, (3) mathematical proofs, (4) hypothesis evaluation, (5) counterfactual reasoning. NOT for: simple factual questions (use scienceclaw-qa), data analysis (use code-execution), or literature search (use scienceclaw-retrieval).

Answer scientific questions across all disciplines with evidence-based responses and citations. Use when: (1) user asks factual science questions, (2) needs explanation of concepts/theories/methods, (3) multi-step scientific reasoning needed. Covers natural sciences (physics, chemistry, biology, medicine, materials, astronomy, earth science, math, CS) and social sciences (economics, sociology, psychology, political science, linguistics, history, law, philosophy, education). NOT for: opinion-based questions, non-scientific queries, or when code execution is needed (use code-execution skill).

Predict scientific properties, trends, and outcomes. Use when: user asks for property prediction, trend forecasting, or model-based estimation. NOT for: historical data lookup or real-time monitoring.

Extract structured information from scientific texts: entities, relations, data tables, methods, results. Use when: (1) parsing papers for key data, (2) extracting experimental parameters, (3) building knowledge graphs from literature, (4) NER on scientific documents, (5) extracting methods/results sections. NOT for: summarization (use scienceclaw-summarization), full text retrieval (use scienceclaw-retrieval).

Generate scientific hypotheses, experimental designs, and paper drafts. Use when: user asks to propose hypotheses, design experiments, or write scientific content. NOT for: data analysis or literature search.