Results for “non-intentional-action”

Use `analysis-agent` when engineering intent lacks desired behavior, boundaries, constraints, or completion signals. Skip requests with an accepted Engineering Brief and no-repo direct-answer work.

Diagnoses why someone knows what to do but doesn't do it, using Adlerian psychology to identify root causes like procrastination, perfectionism, or avoidance.

Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach, using network segmentation, endpoint isolation, credential revocation, and access control modifications.

Detect and defend against prompt injection hidden in documents, web pages, and images consumed by an agent.

Design a visual protest action that generates media coverage for a cause without requiring budget or platform access.

当需要建立可持续的创造节奏，将灵感转化为行动时

Shape or refine the existing bead or caller intent without creating a second planning artifact. Triggers: "plan", "discover and plan", "shape this goal".

Redige acao de obrigacao de fazer ou de nao fazer com foco na tutela especifica (CPC 497) e meios de efetivacao (CPC 536) com multa / astreinte (CPC 537 + 537 §1 — juiz pode modificar valor/periodicidade ou excluir), fundamentada no CC (arts. 247-249 fazer; 250-251 nao fazer + urgencia sem autorizacao judicial), com entrega de coisa via busca e apreensao / imissao (CPC 538) e execucao por titulo extrajudicial (CPC 814-823), deixando a conversao em perdas e danos como remedio SUBSIDIARIO. Use quando o operador disser obrigar a fazer, obrigacao de fazer, nao fazer, abster-se, cumprir obrigacao, astreinte.

Audit Android component configurations and Intent handling to prevent Intent Redirection and unauthorized access.

Configures autonomous heartbeat and cron-based proactive routines (e.g., morning briefing setup, unanswered-message scan cadence). Invoke when user is SETTING UP or MODIFYING a proactive routine, not when the routine itself fires. Cron crons execute their own logic — they do NOT load this skill. Triggers: "set up proactive check", "configure heartbeat", "add morning briefing", "tune cron cadence".

Use with analysis-agent or task-agent for task-local transaction, isolation, and conflict decisions. Do not use without a transaction decision or as task owner.

Use to measure customer effort from behavioural signals instead of CES surveys, and to audit whether a composite effort score is honest. Trigger for "customer effort score", "behavioural CES", effort without survey, repeat contacts and channel switches, transfers and reopens, or "our CES doesn't match operational data".

Define owned inductive invariants and enforce them at parse, construct, API, DB, lock, or transaction boundaries, with counterexample-driven verification.

Designs or reviews Agentforce agent actions, covering Flow, Apex invocable, and prompt-template actions, including naming, input/output contracts, confirmation, and error behavior.

Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows. Use when deciding which agent actions require review, adding approve/reject or dual-control flows, preventing unauthorized autonomous effects, creating decision records, reducing rubber-stamping, or recovering safely from rejected, expired, or failed actions.

The menu of non-grit moves available when you'd otherwise reach for "I'll do better next time." Use when you catch yourself resolving to "be more careful," "remember to X," or "try harder" — those resolutions die at the turn boundary. The right shape is always a structural change with a verifiable diff: edit a memory file, edit a skill that misled you, log a chainlink interest item, add a poller for the missed signal, file a five-whys. The artifact must outlive the turn.

Detect malicious scheduled task creation and modification using Sysmon Event IDs 1, 11, and Windows Security Event 4698/4702, correlating task creation with suspicious parent processes, public directory paths, and encoded command arguments to identify persistence and lateral movement.

Writes an actionable markdown implementation plan with bite-sized TDD tasks, exact paths, code, and commands, without executing it.

Facilitates discussion-based tabletop exercises for SOC teams to test incident response procedures, communication workflows, and decision-making under pressure without impacting production systems.

One iteration of an unattended development loop. Use when invoked by name.

当个人感到迷茫，不确定自己真正想要什么，或发现当前追求无法带来深层满足时，调用此模型来探索和澄清内在真实欲望

当需要在众多机会中筛选出投入产出比最高的选项，以最小化风险并最大化潜在回报时

Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings. Use when defining red-team rules of engagement, assessing prompt injection or excessive agency, testing tool and identity boundaries, evaluating memory or cross-agent attacks, scoring a campaign, or verifying remediation in an approved environment.

Agent validation v4.3.0 — Make agents act effectively by disabling harmful actions, lowering gates, and injecting cross-run learning

Detect anomalous user activities including impossible travel, unusual access patterns, privilege abuse, and insider threats using SIEM-based behavioral baselines and statistical analysis.

Detects unusual options activity and classifies smart money signals to help follow institutional positioning, including volume/OI ratio spikes, block trades, sweep orders, and net premium flow.

Provides a sandboxed execution environment for running code snippets, automating tasks, and deploying logic across multiple languages with resource capping and network isolation.

NoSQL injection playbook. Use when MongoDB-style operators, JSON query objects, flexible search filters, or backend query DSLs may allow data or logic abuse.

利威尔（少年漫）认知与表达框架（压缩蒸馏）：兵长洁癖战力、矮个子反差、残酷抉择 触发：进击的巨人 等。虚构；非仇恨教唆

Guardian Angel gives AI agents a moral conscience rooted in Thomistic virtue ethics. Rather than relying solely on rule lists, it cultivates stable virtuous dispositions— prudence, justice, fortitude, temperance—that guide every interaction. The foundation is caritas: willing the good of the person you serve. From this flow the cardinal virtues as practical habits of right action and sound judgment. v3.0 introduced virtue-based disposition as the primary evaluation layer, providing deeper coherence than checklists alone. The agent's character becomes the safeguard. v3.1 adds: Plugin enforcement layer with before_tool_call hooks, approval workflows for ambiguous cases, and protections for sensitive infrastructure actions.

Append structured execution traces across operational, cognitive, and contextual surfaces with minimal overhead. Load when inspecting agent runs, logging tool calls and observations, enabling post-run debugging, or pairing with structured-planning step IDs. Also triggers on "trace this run", "log execution", "agent observability", "run log", or when fault-localize needs evidence. Default-on during multi-step plans. Traces live at .agent-loom/traces/ — git-ignored by default.

Conduct authenticated and unauthenticated vulnerability scans using Tenable Nessus to identify known vulnerabilities, misconfigurations, and missing patches, with prioritized remediation guidance.

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.

Plain-object Redux actions for the chota-react-saga template — three-phase async triples (REQUEST / SUCCESS / ERROR) per CRUD verb, single-phase actions for sync ops, UPPER_SNAKE type constants, and explicit hand-written action creators (no createAsyncThunk).