「candidate」の検索結果

Locate CCSBotManager::MaintainBotQuota in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CCSBotManager::MaintainBotQuota" (symbol CCSBotManager_MaintainBotQuota). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CCSBotManager_MaintainBotQuota, CCSBotManager::MaintainBotQuota

日本語の概要は準備中です。原文の説明を表示しています。

Locate CBaseIssue::CountPotentialVoters in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBaseIssue::CountPotentialVoters" (symbol CBaseIssue_CountPotentialVoters). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CBaseIssue_CountPotentialVoters, CBaseIssue::CountPotentialVoters

日本語の概要は準備中です。原文の説明を表示しています。

Locate CBasePlayerController::OnSimulateUserCommands in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBasePlayerController::OnSimulateUserCommands" (symbol CBasePlayerController_OnSimulateUserCommands). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CBasePlayerController_OnSimulateUserCommands, CBasePlayerController::OnSimulateUserCommands

日本語の概要は準備中です。原文の説明を表示しています。

Locate BuyState::OnUpdate in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "BuyState::OnUpdate" (symbol BuyState_OnUpdate). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: BuyState_OnUpdate, BuyState::OnUpdate

日本語の概要は準備中です。原文の説明を表示しています。

Finds open GitHub PRs with security and priority-high labels, links each to its issue, detects duplicates (multiple PRs fixing the same issue), and presents a table of review candidates. Use when looking for the next PR to review. Trigger keywords - find pr, find review, next pr, pr to review, duplicate pr, security pr.

日本語の概要は準備中です。原文の説明を表示しています。

Scan global talent markets via GitHub/Arxiv/LinkedIn APIs, build talent heatmaps with salary benchmarks, identify Tier S/A/B/C candidates. Use when: quarterly talent scanning, critical role hiring, competitive intelligence on talent pools. Includes real API integrations and data pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Stress-test a plan against existing domain language, code behavior, and durable decisions. Use when the user wants DDD/domain-model grilling, glossary refinement, terminology challenges, context documentation, ADR candidates, or plan validation against a repo's language.

日本語の概要は準備中です。原文の説明を表示しています。

Implements comprehensive observability with OpenTelemetry tracing, Prometheus metrics, and structured logging. Includes instrumentation plans, sample dashboards, and alert candidates. Use for "observability", "monitoring", "tracing", or "metrics".

日本語の概要は準備中です。原文の説明を表示しています。

External recon for software supply-chain attack surface — package-namespace squatting candidates, dependency-confusion vulnerabilities, GitHub Actions injection openings, container image registry exposure, SBOM mining, internal-package-name leakage, and CI/CD configuration exposure. Reconnaissance and identification ONLY — actual package publishing / typosquat attacks are EXTERNAL-OFFENSIVE and require explicit written sign-off because they can affect the entire npm/PyPI ecosystem. Use when the target has a public GitHub org, when their build artifacts/SBOMs are reachable, when their docker images are on Docker Hub/GHCR, or when you find internal package names in their JS bundles.

日本語の概要は準備中です。原文の説明を表示しています。

Use when entering a repository with a .ctx/ hub, or when the user asks about project context, agent instructions, tool configuration, health, candidates, broken shims, repair, or cross-tool context.

日本語の概要は準備中です。原文の説明を表示しています。

Principled action selection for autonomous agents using Expected Free Energy (EFE) under the Active Inference framework. Each candidate action is scored as G(n) = w_prag * (-E[p_n] * damping) + w_epist * (-Var[p_n] * novelty(n)), where agent beliefs are maintained as per-node Beta distributions and updated via Bayesian observation. Selection is a softmax over -gamma * G, making exploration an automatic consequence of uncertainty rather than a hardcoded epsilon. Precision weights w_prag and w_epist self-adapt via surprise history, shifting the agent between exploitation and exploration regimes without any manually tuned schedule.

日本語の概要は準備中です。原文の説明を表示しています。

Ranks eligible skill candidates with explicit retrieval evidence, capability coverage, and uncertainty. NOT for discovery, authorization, or execution planning.

日本語の概要は準備中です。原文の説明を表示しています。

Matches natural language task descriptions to appropriate skills using semantic similarity, ranks candidates by fit and performance history, and maintains the skill catalog. Use when assigning skills to DAG nodes, searching for the right skill for a task, ranking competing skills, or browsing the skill catalog. Activate on "find skill", "match skill", "which skill", "skill for this task", "skill catalog", "rank skills", "best skill". NOT for executing DAGs (use dag-runtime), creating skills (use skill-architect), or grading skills (use skill-grader).

日本語の概要は準備中です。原文の説明を表示しています。