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「ssm」の検索結果

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概要と使いどころ

Implement one governed Proto UI Adapter-profile realization slice. Use when target and runtime range, supported or omitted Module role, Host Capability fidelity, lifecycle translation, failure behavior, compatibility boundary, and evidence scope are fixed by current authority. Use pui-adapter-assess for research or readiness assessment and pui-regression first for a governed failing behavior.

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。

Proto-UI/Proto-UI362026年10月14日 更新

Run Proto UI's dynamic comprehension assessment and derive an unsigned local task-fit result. Use when an Agent needs review calibration or a fresh autonomous task and review ceiling. Do not use a self-result as identity, permission, or acceptance evidence.

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。

Proto-UI/Proto-UI362026年10月14日 更新

Use for ANY bug bounty, penetration test, or web/API/mobile security assessment: recon, testing endpoints, analyzing Burp traffic or any bug-bounty platform's MCP (HackerOne, Intigriti, Bugcrowd, YesWeHack, Immunefi), reviewing APKs, bypassing a WAF, enforcing scope, hunting a specific vuln class, validating findings, writing reports, or when you are stuck on a target and about to give up. Activates automatically for all bug-bounty and pentest sessions. Runs an autonomous, never-surrender predator methodology: refuses to conclude "secure", exhausts each vuln class to depth, proves a real attacker-path with impact and no false positives, tracks coverage so nothing is re-tested or skipped, diagnoses failed tooling from full logs, and hunts at maximum effort with intelligent token use until the goal is found. Activates and follows instructions in ANY language the operator writes in (the skill itself is English). Bundles a per-class web-exploitation KB, a writeup library, and PayloadsAllTheThings.

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。

sanjarbiy/bugbountyrules352026年8月18日 更新

60-Second Restaurant Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full audit

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。

zubair-trabzada/ai-restaurant-claude332026年5月21日 更新

Online presence audit — Google Business Profile completeness, Yelp listing quality, website assessment, online ordering setup, third-party platform presence

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。

zubair-trabzada/ai-restaurant-claude332026年5月21日 更新

60-Second Stock Snapshot — fast assessment with signal (BUY/HOLD/SELL/AVOID), key bullish/bearish factors, and key levels. No subagents. Terminal output only. Triggered by "trade quick <TICKER>" or "quick look at <TICKER>".

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。

zubair-trabzada/ai-trading-hermes322026年6月4日 更新

Investment Thesis Generator — complete institutional-quality thesis with bull/bear cases (3-5 reasons each with evidence), catalyst timeline, entry/exit strategy with specific price levels, position sizing tables, timeframe classification, and asymmetry assessment. Triggered by "trade thesis <TICKER>".

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。

zubair-trabzada/ai-trading-hermes322026年6月4日 更新

Risk Assessment & Position Sizing — volatility profile (beta/ATR/HV), historical drawdowns, correlation analysis, liquidity risk, position sizing tables (fixed %, volatility-adjusted, Kelly Criterion), and VaR estimates. Returns Risk Score (0-100, higher = safer). Triggered by "trade risk <TICKER>".

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。

zubair-trabzada/ai-trading-hermes322026年6月4日 更新

60-Second Role Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full analysis

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。

zubair-trabzada/ai-recruiter-claude322026年5月21日 更新

Employer Brand Audit — Glassdoor/Indeed review analysis, LinkedIn company page assessment, career site evaluation, employee testimonials, competitiveness vs other employers

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。

zubair-trabzada/ai-recruiter-claude322026年5月21日 更新

raam-code

無料

Develop accessible mobile applications (iOS and Android) conforming to RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework, based on EN 301 549 v3.2.1 / WCAG 2.1). Use when building native mobile apps, React Native, Flutter, or any mobile UI that must meet Luxembourg accessibility law. Covers all 15 RAAM themes with platform-specific code guidance. Default conformance target: Level AA.

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。

geoffreycrofte/luxembourg-accessibility-skillset312026年7月20日 更新

Audit mobile applications (iOS and Android) against RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework). Use when reviewing existing mobile app code for accessibility compliance, generating audit reports, checking conformance levels, or preparing for Luxembourg accessibility certification. Covers all 15 themes with platform-specific test procedures. Default target: Level AA.

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。

geoffreycrofte/luxembourg-accessibility-skillset312026年7月20日 更新

tdd

無料

RED-GREEN-MUTATE-KILL MUTANTS-REFACTOR workflow for writing production code. Use before ANY production code change - new features, bug fixes, or behavior changes. Triggers on starting implementation work of any kind. Covers the cycle itself - failing test first, minimum code to pass, mutation verification, refactor assessment. For how to write good tests, see testing. For the refactoring step in detail, see refactoring. TDD is non-negotiable.

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。

kabirnayeem99/Ktor2Curl302026年8月31日 更新

Use as the default entry point for any CTI request that doesn't name a specific skill. Activates when a user asks to investigate an indicator, profile a threat actor, write an assessment, enrich IOCs, or build detection rules, and when a user asks where a report or article comes from, how reliable it is, to grade a source, check a report, or split a report into claims, or pastes a bare article URL. Routes to the right investigation, provenance, grading or analysis skill, then auto-applies rigor skills (source rating, TLP, confidence, likelihood) on the output.

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。

Liberty91LTD/cti-skills272026年9月30日 更新

Use when assessing the maturity of a CTI programme, the user asks "how mature is our CTI?" / "what should we improve next?", or wants a benchmark against the five-level model across six dimensions.

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。

Liberty91LTD/cti-skills272026年9月30日 更新

Use when challenging a prevailing analytical judgment, the user asks "what is the opposing case?" / "argue the other side" / "play devil's advocate", or wants an assessment stress-tested before release. Takes the team's own lead judgment and builds the strongest case that it is wrong. A contrarian technique. It does not model what an adversary would do next, which is Red Team Analysis. Formerly /red-team-analysis.

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。

Liberty91LTD/cti-skills272026年9月30日 更新

Use when writing a finished intelligence product, the user asks for a flash-report / threat-assessment / briefing / FINTEL template, or wants the BLUF + active-voice + clear-sourcing conventions. Covers all product types.

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。

Liberty91LTD/cti-skills272026年9月30日 更新

Use when you need to answer "which attacker techniques do our controls actually stop, and how well?", "what controls should I have for this threat?", or "what telemetry should I collect to detect it?" — joining a customer's or your own security control baseline to ATT&CK techniques using a public, versioned evidence base of 9,545 control-to-technique mappings from six sources. Produces four ranked lists (addressed strongly, addressed weakly, real gaps, and techniques no control anywhere addresses). Use for control gap analysis, security programme prioritisation, board reporting on coverage, or the Resistance Strength side of a FAIR risk assessment. Invoke after /threat-actor-profiling or /lookup-liberty91 has produced a technique list.

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。

Liberty91LTD/cti-skills272026年9月30日 更新

Identifying and validating cross-site scripting vulnerabilities using Burp Suite's scanner, intruder, and repeater tools during authorized security assessments.

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。

galyarderlabs/galyarder-framework262026年10月11日 更新

Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments. Activates for requests involving CTI report writing, threat briefings, intelligence products, finished intelligence, or executive security reporting.

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。

galyarderlabs/galyarder-framework262026年10月11日 更新

Executes authorized attack simulations against Active Directory environments to identify misconfigurations, weak credentials, dangerous privilege paths, and exploitable trust relationships that could lead to domain compromise. The tester uses BloodHound for attack path analysis, Mimikatz for credential extraction, and Impacket for protocol-level attacks including Kerberoasting, AS-REP Roasting, and delegation abuse. Activates for requests involving Active Directory pentest, AD attack simulation, domain compromise testing, or Kerberos attack assessment.

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。

galyarderlabs/galyarder-framework262026年10月11日 更新

Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.

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。

galyarderlabs/galyarder-framework262026年10月11日 更新

Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.

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。

galyarderlabs/galyarder-framework262026年10月11日 更新

Assesses a research paper outline (.qmd file) against structured criteria from Kosuke Imai's empirical research guide. Evaluates the abstract and section outline for: research question clarity, stated contributions, hypotheses and testable implications, data description, planned results and inferential approach, and robustness checks. Detects causal papers from the abstract and conditionally assesses identification strategy only when causal framing is present. Produces a structured markdown report with PASS/PARTIAL/FAIL assessments and actionable suggestions. Use when asked to assess, evaluate, review, or check a paper outline, abstract-and-outline, or research plan in a .qmd file.

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。

christopherkenny/skills262026年7月9日 更新