「detector」の検索結果

Use when diagnosing a repeated conceptual mistake and designing a targeted correction loop to replace the faulty mental model.

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。

Self-test both Telegram rails on this machine, the MCP connector and the userbot library, with a deterministic zero-token detector plus a real in-session MCP probe, and print a per-rail verdict with the exact fix for whichever is down. Triggers: "/tg-check", "are both tg rails up", "check telegram channels".

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。

Put a nightly watcher on any Telegram channel or chat in one command: register the channel and a single nightly job doing an incremental zero-token fetch plus the shared detector, producing a private shortlist report. Triggers: "/watch-channel <@channel|id>", "watch this channel", "monitor <channel> nightly".

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。

Draft short, in-voice reply candidates to a fresh community shortlist: read the nightly detector report, pick posts in safe or opinion topics, pull a grounding snippet from the local corpus, and write the drafts. Drafts only, and the owner posts. Triggers: "/sostav-comments", "draft replies to the shortlist".

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。

Mine any Telegram channel or chat for signal in one command: incremental zero-token scrape, deterministic detector shortlist, LLM judge for what is genuinely valuable to this owner, then linked vault notes, a database row, a map-of-content entry and reindex. Triggers: "/mine-channel <@channel|id>", "alpha from <channel>".

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。

Look up the registry of declined and deferred decisions, so the same idea is never re-pitched: what was rejected, why, and under what condition to revisit. Read-only, and can also run the detector for new rejections in recent sessions. Triggers: "/declined", "did we reject this before".

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。

Run one full mining pass over an imported community-chat corpus: deterministic detector, LLM judge, harvest, review screen. Works on any imported corpus through a per-source config and is safe to re-run, being idempotent by message id. Triggers: "/community-alpha <source> [month]", "mine alpha from <community>".

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 recent agent sessions for content-worthy moments and capture them as drafts in a publishing funnel, publishing nothing. Zero-token detector, then a taste judge, then capture. Triggers: "/content-mine", "mine sessions for content", "what in our sessions deserves a post".

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。

LLM-judge stage of an alpha-mining pipeline: take a miner's deterministic candidate list, keep only real signal, drop noise, and propose additions to that miner's curated note. Use after any zero-token detector run. Reads only the candidate digest and the home note, never the corpus. Triggers: "/alpha-judge <miner>", "judge the candidates".

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 to audit a generated or heavily templated interface for generic AI aesthetics, unjustified trend patterns, component-registry residue, vague copy, repetitive motion, novelty theater, or visual decisions that lack brand/UX rationale.

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。

同一ファイル/隣接ファイル内で「規則Xを守れ」と宣言した直後にXを破っている、宣言と実装の乖離を検出する

Detects the mobile stack of the current project (Flutter, Android, iOS, React Native, Kotlin Multiplatform), its languages and target platforms, using the reis-mobile detector. Use when you need to know which mobile stack a project uses before reviewing, debugging or changing it, or when the user asks "what stack is this project?".

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 working with Aws Guardduty — aWS GuardDuty finding analysis, detector management, suppression rule review, and member account oversight. Covers threat detection summary, finding severity distribution, finding type breakdown, trusted IP lists, and organization-wide security posture.

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。

PVDetector, a training-free framework that detects PI attacks during LLM inference by measuring hidd GAP: no mappable capability in latest signal (our

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 after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.

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。

BUD(ブロック更新検知器)の論理、構成方法、および使用に関するガイドラインです。

ディテクターレールの特性、配置方法、および操作に関するガイドラインです。

日照センサーの特性、配置方法、および操作に関するガイドラインです。

Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-based escapes). Based on the OWASP LLM Top 10 (LLM01:2025 Prompt Injection) and Simon Willison's prompt injection taxonomy. Activates for requests involving prompt injection detection, LLM input sanitization, AI security scanning, or prompt attack classification.

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。

Reads, inspects, and writes Flow Cytometry Standard (FCS) files from conventional, spectral, and mass cytometry (CyTOF), and parses FlowJo/Cytobank/Diva workspaces. Covers FCS 2.0/3.0/3.1/3.2 internals ($PnE linear-vs-log, $DATATYPE, $SPILLOVER vs SPILL vs $COMP, $TIMESTEP), channel/parameter metadata, the silent linearize/truncate defaults, and R (flowCore, flowWorkspace, CytoML) plus Python (FlowKit, readfcs) readers. Use when loading flow or mass cytometry data, mapping detector channels to antibodies, extracting the event matrix, choosing a reader, or bridging FCS to the scanpy/AnnData ecosystem before preprocessing.

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。

Audits Hibernate database interactions to prevent N+1 query problems in JVM apps.

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。

Code quality dashboard. Wraps existing project tools (type checker, linter, test runner, dead code detector, shell linter), computes a weighted composite 0-10 score, and tracks trends over time. Use when: "health check", "code quality", "how healthy is the codebase", "run all checks", "quality score". (gstack)

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。

Reads, inspects, and writes Flow Cytometry Standard (FCS) files from conventional, spectral, and mass cytometry (CyTOF), and parses FlowJo/Cytobank/Diva workspaces. Covers FCS 2.0/3.0/3.1/3.2 internals ($PnE linear-vs-log, $DATATYPE, $SPILLOVER vs SPILL vs $COMP, $TIMESTEP), channel/parameter metadata, the silent linearize/truncate defaults, and R (flowCore, flowWorkspace, CytoML) plus Python (FlowKit, readfcs) readers. Use when loading flow or mass cytometry data, mapping detector channels to antibodies, extracting the event matrix, choosing a reader, or bridging FCS to the scanpy/AnnData ecosystem before preprocessing.

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。

Analyzes multiple provided pages to identify keyword overlap and potential cannibalization issues. Suggests differentiation strategies. Use PROACTIVELY when reviewing similar content.

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。