其他技能

Dark web (.onion) content scanner via Tor proxy -- safe read-only crawling, indexing, and structured result export for display in the dark web browser.

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Wizard for creating new Agent Zero skills. Guides users through creating well-structured SKILL.md files. Use when users want to create custom skills.

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Create Cursor hooks. Use when you want to create a hook, write hooks.json, add hook scripts, or automate behavior around agent events.

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Advanced Persistent Threat (APT) hunting and threat detection. Focuses on identifying stealthy intruders using TTP mapping, IoC analysis, and behavioral anomalies.

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Keep a PR merge-ready by triaging comments, resolving clear conflicts, and fixing CI in a loop.

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End-to-end orchestration of the Cyber Kill Chain. Coordinates the transition between reconnaissance, weaponization, delivery, exploitation, installation, C2, and actions on objectives.

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Evaluate and improve an existing AgentOS agent or team. Repair failing eval cases, or explore behavior by generating simulated user scenarios from instructions and sanitized usage, running probes, inspecting evidence and iterating within a bounded budget. Use for failing evals, autonomous hardening or simulation-driven improvement. Use create-evals for coverage authoring alone and extend-agent for a requested new capability.

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Capture screenshots on registered computers, record on macOS or HarmonyOS, and manage saved captures. Probe capabilities before recording.

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Quantify periodicity in a recorded agent session — dominant onset period in seconds, spectral entropy, autocorrelation lag. Use to prove a poll loop, measure how metronomic retries are, compare cadence between runs, or window into one suspicious stretch.

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Attach review scores to recorded Whalesong traces and build comparison pairs — mark a session good/bad/regressed, then diff two runs deterministically. Use when evaluating agent changes, reviewing a run after the fact, or building a small eval set.

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Analyze one recorded agent session the way the Whalesong instrument does — signal shape first, computed findings second, exact evidence rows last. Use when the user asks what a session did, why it stalled, looped, errored, or burned tokens.

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Control Spotify playback and search the library and playlists. Use when: spotify, music, playlist, play, pause, or what's playing.

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Break a large, parallelizable goal into bounded work units, coordinate existing agent/worktree machinery, integrate, and verify. Explicit-only.

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Read release notes/changelogs, update a defined dependency scope, handle breaking changes, and verify. Explicit-only; no broad update-everything by inference.

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Improve clarity and reduce needless complexity after behavior is understood; preserve behavior and keep cleanup separate from correctness fixes.

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Search a local macOS Photos library and export selected copies when the user asks to find or use their own photos.

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Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.

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Carry an authorized, defined request or approved plan through scoped edits and proportionate verification. Skill loading is not write authorization by itself.

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Write a compact, decision-ready handoff so the next session (or the user) can continue without reconstructing the current one. Use when the session is ending, context is running low, the user asks for a handoff / 'pass the baton' / 'hand off', or a long-running operation needs a durable state checkpoint.

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Set, review, and update the user's goals. Use when: goals, resolutions, track progress, what am I working toward, or holding me accountable.

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Bank accounts, balances, and transactions via Plaid. Use when: bank, balance, transactions, spending, accounts, or plaid.

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Track flights and look up status and schedules. Use when: flight status, track a flight, flightaware, arrivals, departures, delays, or a flight number.

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Generate a small set of independent candidate solutions in worktrees, judge them against one explicit rubric, and apply the winner only after PASS verification.

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当使用者贴出一份写好的歌词说"帮我改改"、"这词哪里有问题"、"听起来像 AI 写的"、"帮我看看字数和押韵对不对"时使用。先跑脚本做机械体检（字数、断句、陈词命中、重复行、与模板比对），再判断需要读音和语感的部分（韵辙、画面感、主歌推进、hook 是否成立、可唱性），可派一个 sonnet 子代理做陌生听众初听测试。产出定点修改清单，每处给两三个替换候选，不重写整稿。

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