238건 · 관련도순
Build a central platform for collecting, analyzing, and sharing cyber threat information. Connect MISP, OpenCTI, TheHive, and Cortex to import feeds, add context to suspicious indicators, manage cases, and track platform activity.
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Assess cybersecurity risks using NIST SP 800-30 Rev 1 by examining threats, weaknesses, likelihood, and business impact. Produce a ranked risk register, a structured record of risks and recommended responses, with a summary for leadership.
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Build a workflow that extracts and deduplicates threat indicators such as URLs and IP addresses, creates readable reports with links disabled, and prepares standardized STIX 2.1 data for sharing through MISP or TAXII.
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Collect and organize victim postings from ransomware data leak sites through tracking feeds. Analyze group activity over time, compare sector and country patterns, and produce threat reports with risk assessments and defensive recommendations.
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Investigate suspicious IP addresses, domains, URLs, file hashes, and email artifacts using multiple threat intelligence sources. Assess confidence that each indicator is malicious, check links to known campaigns, and document evidence for blocking, monitoring, or allowing it.
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Extend a NanoClaw agent's own environment with packages, external tools, or specialist agents. The skill chooses the workflow for each change, edits memory and standing instructions, and delegates source changes to a builder for review.
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Find suitable grants and bidding opportunities, check eligibility before drafting, and prepare applications or responses to requests for proposals using past submissions and actual organizational data. It also tracks submission deadlines and reporting obligations after an award.
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Track competitors’ products, pricing, and customer wins or losses, then turn findings into sales comparison sheets, market positioning updates, and feature gap summaries that inform product planning and leadership decisions.
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Build Python applications that collect live cryptocurrency prices, trades, and order books with Cryptofeed. Covers consistent data formats across exchanges, price comparisons, and writing incoming data to storage systems for monitoring and analysis.
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Use CoinGecko API documentation to build cryptocurrency price trackers and market data integrations. The skill supports implementation and debugging for access to prices, market capitalization, trading volume, and historical data.
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Guide a macOS app release through versioning, signing, Apple notarization, update feed checks, and Homebrew updates. Includes CodexBar release scripts, published asset verification, and preparation of the next unreleased version.
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Use cmux on macOS to organize visible teams of AI agents, send prompts, inspect terminal output, and monitor completion. Set up role-based teams or have several agents investigate the same problem; live operation remains unproven in the supplied material.
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Update an existing regulatory practice profile through guided, one-at-a-time changes. Adjust watched regulators, significance thresholds, policy references, feeds, or workflows while reviewing how each change affects related tasks and shared company settings.
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Plan and run fuzz testing, which feeds varied inputs to software to uncover bugs. The skill guides tool selection, test harness creation, input collection, coverage measurement, and crash triage for parsers, protocols, kernels, and other targets.
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Research a company, industry, or competitor group through web search and seven analytical lenses. Produce structured, cited findings on business models, products, competition, and strategic signals for product decisions and further analysis.
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Find Instagram posts tagged at a specific venue or location and collect captions, engagement counts, media URLs, and user details. Search places by name or use a location ID, with top-post or chronological feeds and pagination.
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Coordinate threat research and updates in AgentSec, then synchronize validated results to the guide and landing page. Check compatibility data and the searchable catalogue, and report the status of each repository separately.
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Set up NuGet publishing from GitHub Actions using OIDC, an identity verification mechanism that provides short-lived tokens. Create or update the publishing workflow and get guidance for configuring the matching policy on nuget.org.
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Review DeFi smart contracts for ten classes of security flaws, including inconsistent accounting, missing permissions, and price manipulation. The skill helps prioritize audit targets and build Foundry tests that reproduce a finding and demonstrate its impact.
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Save decisions, research findings, and work updates to Obsidian, then update related notes, daily entries, and task boards. Maintain existing pages, preserve changing facts with their history, and check for duplicates and broken links.
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DOCA Rivermax (doca_rmax) receive streams for timing-precise media over IP (SMPTE ST 2110 video / audio, market data, scientific feeds) on a BlueField DPU or ConnectX host, once the Rivermax SDK and its license are installed; getting the SDK or license is doca-setup / doca-public-knowledge-map territory. Trigger on "ST 2110 receive isn't getting frames", "sub-microsecond jitter on my media receiver", "NOT_SUPPORTED from doca_rmax_init", "no recv events after stream start", or "license check failing on a media receiver", even without naming Rivermax. Covers doca_rmax_in_stream sessions, the SDK + license precondition check, doca_rmax_get_*_supported capability queries, pairing with doca-eth queues and doca-flow steering, and DOCA_ERROR_* from Rivermax calls. Refuse and route elsewhere for programming the underlying queue (doca-eth), steering rules (doca-flow), PTP / clock sync (doca-firefly), or best-effort packet I/O.
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[omh] Uncertain technical choice for a spike: bounded decision prototype workflow: resolve one uncertain interaction, API, performance, or integration choice with a disposable, isolated experiment whose observed result feeds planning. Use when the user says: decision-prototype, decision prototype, prototype this uncertain choice before planning, prototype before planning, prototype the uncertain choice, run a small spike, small spike, spike solution.
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Use when the user asks to "grow my email list", "design a lead magnet / signup incentive", "set up double opt-in", or "plan a referral / recommendation loop"; produces a list-growth plan — acquisition channels, lead-magnet / incentive concepts, a compliant double-opt-in capture-flow spec, referral-loop mechanics, and subscriber-growth / cost-per-opt-in targets (labeled Estimated) — that feeds SEND-S (consent quality captured at acquisition) and SEND-N (lifecycle entry). Not for the signup page/popup UX itself — use landing-optimizer; not for recording the opt-in — use consent-registry; not for the confirmation-email copy — use email-creative-builder. 邮件列表增长/lead magnet/双重确认/推荐环
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Turns one-shot external recon into a continuous monitoring program. Covers the scheduled re-scan-and-diff loop (baseline snapshot -> interval sleep -> re-scan -> asset/finding delta -> threshold-gated webhook alert), the scan-to-scan diff engine (new/removed/changed assets by a tracked-attribute table, new/resolved findings by a stable cross-scan fingerprint), adversary CTI / chatter monitoring across six public feeds (ransomwatch, ransomware.live, HackerNews Algolia search, Reddit security-subreddit RSS, GitHub Gist code-search, public Telegram channel scraping) with a source-kind-aware severity engine (leak-site/forum/telegram/paste tiers, CRITICAL through INFO), literal/glob/regex watchlist pattern matching, full-corpus capture with retroactive rescan on new watchlist entries, infrastructure-tracking-over-time discipline (certificate-transparency, passive-DNS, port/service, and typosquat re-enumeration cadence, and what a genuine 'perimeter drift' event looks like in the diff output), a five-state finding-lifecycle state machine (open/triaged/risk_accepted/resolved/false_positive) with per-severity SLA and fingerprint-based cross-scan dedup and auto-resolve/reopen rules, the alert-fatigue trap where a lifecycle-unaware rule re-fires on an already-accepted finding, a durable retry/backoff alert-outbox pattern ('queued is not delivered'), and copy-paste bash-cron plus PowerShell-Scheduled-Task recipes for a re-scan+diff loop with the Slack-compatible webhook payload shape. Passive OSINT and analysis only -- no new active-intrusion technique. Use when setting up ongoing monitoring for a retainer or MSSP engagement, tuning alert thresholds to avoid fatigue, triaging a finding's lifecycle status, investigating adversary chatter about a brand, building a 'what changed on the perimeter since last week' report, or deciding whether a persisting finding should re-alert.
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