Results for “chance-operations”

Provides structured guidance for running operations across engineering, business, and organizational contexts, including incident management, deployment checklists, rollback procedures, change management, meeting design, and operational rituals.

Orchestrates multi-stage attack-path planning and execution across reconnaissance, initial access, privilege escalation, lateral movement, and impact assessment for authorized penetration testing.

Manages Google Cloud infrastructure including Compute Engine, Cloud Run, BigQuery, Cloud Functions, GKE, and IAM.

Avalia riscos e oportunidades do caso civel e sugere os proximos passos processuais. Pondera probabilidade de exito, onus da prova, custos/beneficios de acordo x litigio, momento de tutela de urgencia, escolha de pedidos e de via (conhecimento x cumprimento), e calibra a postura. Use quando o operador disser qual a estrategia, vale a pena recorrer, devo fazer acordo, quais os riscos, proximo passo, ou pedir analise estrategica do caso.

Run structured What-If scenario analysis with 4-6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use for speculative questions about uncertain futures, strategic forks, contingency planning, or stress-testing decisions.

Plan and execute authorized red team engagements with structured attack path analysis, MITRE ATT&CK kill-chain planning, technique scoring, choke point identification, OPSEC risk assessment, and crown jewel targeting.

Plan and execute authorized spearphishing simulations for red team engagements, covering pretext development, payload creation, infrastructure setup, campaign execution, and post-campaign analysis.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Use when making a forward-looking claim with a checkable outcome (reply within 24h, error rate will drop, this skill will see more use) — record to state/predictions.jsonl with a review horizon so reflection can grade you later. Closes the in-the-moment double-loop.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than relying on arbitrary auto-compaction.

Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.

Heap exploitation playbook. Use when targeting ptmalloc2/glibc heap vulnerabilities including UAF, double free, overflow, off-by-one/null, and leveraging tcache/fastbin/unsortedbin attacks for arbitrary write or code execution.

Organizes email triage, drafting, sending, and verification workflows with evidence-first reporting for mailbox operations.

Extract Kerberos tickets from LSASS memory, inject them into an attacker session, and perform lateral movement to access remote systems as the impersonated user.

Provides on-chain verifiable randomness for coin flips, dice rolls, raffles, shuffles, and game outcomes via the DARKSOL Random Oracle API on Base.

Retrieves live messages from local messaging surfaces, including iMessage and DMs, recovers recent one-time codes, and inspects threads before replying, with evidence of the source checked.

Plans and facilitates tabletop exercises simulating ransomware incidents to test organizational readiness, decision-making, and communication procedures.

Organizes email triage, drafting, replying, and sending with verification that messages landed in the Sent folder.

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.

Organize email inbox, draft replies, send messages, and verify delivery with evidence-based confirmation.

Hunt for adversary persistence and execution via Windows scheduled tasks by analyzing task creation events, suspicious task properties, and unusual execution patterns.

Guides multi-step tasks by decomposing them into checkpoints, verifying results with concrete observations, and re-planning after surprises or failures.

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.

Operations, debugging, and optimization for DAG workflows. Performs root cause analysis on failures, profiles execution performance, aggregates results from parallel branches, bridges context between nodes, and learns patterns from execution history. Activate on "DAG failed", "why did it fail", "root cause", "performance profile", "aggregate results", "merge branches", "execution patterns", "optimize DAG". NOT for planning DAGs (use dag-planner), executing DAGs (use dag-runtime), or validating outputs (use dag-quality).

Detect and exploit race condition vulnerabilities in web applications using Turbo Intruder's single-packet attack technique to bypass rate limits, duplicate transactions, and exploit time-of-check-to-time-of-use flaws.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

面向ECC的以证据为先的实时消息工作流。当用户想要阅读短信或私信、恢复最近的一次性验证码、在回复前检查对话线程，或证明实际检查了哪个消息来源时使用。

Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Apply operations across multiple files simultaneously. Pattern-based bulk modifications, search-and-replace across codebases, consistent changes to many files at once.

Use when facing multiple implementation tasks that could benefit from parallelization or when deciding between solo, parallel agent, sequential subagent, or agent team approaches

Cross-runtime 2-stage pipeline for Claude Code, Codex/OMX, and Gemini/Antigravity/OMA: trace causal hypotheses, inject evidence into deep-interview style requirements crystallization, then hand off to the right runtime planner/executor.

Post-execution skill crystallization and learning engine updates for WinDAGs. Runs after successful execution to update Thompson sampling parameters, track method quality, detect monster-barring, log near-miss events, and signal Kuhnian crises. Activate on "curator", "learning update", "skill crystallization", "Thompson sampling", "monster-barring", "near-miss", "Kuhnian crisis", "post-execution learning". NOT for pre-execution risk scanning (use windags-premortem), retrospective analysis (use windags-looking-back), or DAG construction (use windags-architect).

Exploit path normalization discrepancies between CDN caching layers and origin servers to cache and retrieve authenticated content.