Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
39,020 skills from 1,790 repositories · updated 18 seconds ago
38,411 skills
- offensive-lorawan-sub-ghzSnailSploit/Claude-RedLoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and reconstruction of proprietary packet formats. Use for LoRaWAN deployments (smart cities, asset tracking, industrial telemetry), or any wireless device using the unlicensed 433/868/915 MHz bands (garage openers, doorbells, IoT sensors, RC equipment).DevOpsNo warnings★ 8.8K↓ —
- offensive-shellcodeSnailSploit/Claude-RedShellcode development reference for offensive security engagements. Use when writing custom x86/x64 shellcode, implementing position-independent code (PIC), building shellcode loaders, evading AV/EDR detection, or converting PE files to shellcode. Covers null byte avoidance, API hashing, encoder/decoder patterns, staged vs stageless payloads, Windows PEB traversal, and cross-platform shellcode techniques.SecurityNo warnings★ 8.8K↓ —
- offensive-xssSnailSploit/Claude-Redclaude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a specific attack surface — from SQLi to shellcode, EDR evasion to exploit development.SecurityNo warnings★ 8.8K↓ —
- offensive-active-directorySnailSploit/Claude-RedActive Directory attack methodology for internal network red team engagements. Covers reconnaissance (BloodHound, PowerView, ADExplorer), credential abuse (Kerberoasting, ASREProasting, NTLM relay, LLMNR/NBT-NS poisoning), privilege escalation (ACL abuse, GPO abuse, unconstrained/constrained delegation), lateral movement (Pass-the-Hash, Pass-the-Ticket, Overpass-the-Hash, WMI/WinRM/PsExec), persistence (Golden/Silver/Diamond Tickets, DCSync, DCShadow, AdminSDHolder, Skeleton Key), forest trust attacks, ADCS abuse (ESC1-ESC15), and modern MDI/Defender for Identity evasion. Use when assessing on-prem AD, hybrid AD/Entra ID environments, or ADCS deployments.DevOpsNo warnings★ 8.8K↓ —
- ads-creativeAgriciDaniel/claude-adsAudit paid-ad copy, images, video, hooks, concepts, format coverage, platform-native fit, message match, creative fatigue, accessibility, and policy across supported platforms. Use for creative audit, ad creative, creative fatigue, creative diversity, ad copy review, video review, image review, or production priorities.MarketingNo warnings★ 10.4K↓ —Also in 1 other repo
- ads-optimizeAgriciDaniel/claude-adsDiagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.MarketingNo warnings★ 10.4K↓ —Also in 1 other repo
- offensive-jwtSnailSploit/Claude-RedJWT attack methodology for penetration testers. Covers algorithm confusion (alg:none, RS256→HS256), weak HMAC secret brute force, kid parameter injection (SQLi, path traversal), jku/x5u/jwk header injection, JWKS cache poisoning, JWS/JWE confusion, timing attacks, and mobile JWT storage extraction. Use when testing JWT-based authentication, hunting auth bypass via token manipulation, or evaluating JWT implementation security in web or mobile apps.SecurityNo warnings★ 8.8K↓ —
- ads-testAgriciDaniel/claude-adsDesign and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, hypothesis, statistical significance, sample size, test duration, or experiment readout.TestingNo warnings★ 10.4K↓ —Also in 2 other repos
- comment-writerGentleman-Programming/gentle-aiWrite warm, direct collaboration comments. Trigger: PR feedback, issue replies, reviews, Slack messages, or GitHub comments.WritingNo warnings★ 8K↓ —Also in 1 other repo
- work-unit-commitsGentleman-Programming/gentle-aiPlan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.TestingNo warnings★ 8K↓ —
- hermes-ephemeral-delegationGentleman-Programming/gentle-aiTrigger: a mapping need, parallel units, context backstop, high-risk verify, fresh review, or multi-step debug. Delegate via delegate_task for a named reason.EngineeringNo warnings★ 8K↓ —
- issue-creationGentleman-Programming/gentle-aiTrigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.OtherNo warnings★ 8K↓ —
- skill-creatorGentleman-Programming/gentle-aiTrigger: new skills, agent instructions, documenting AI usage patterns. Create LLM-first skills with valid frontmatter.OtherNo warnings★ 8K↓ —
- skill-improverGentleman-Programming/gentle-aiTrigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.EngineeringNo warnings★ 8K↓ —
- judgment-dayGentleman-Programming/gentle-aiTrigger: judgment day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.EngineeringNo warnings★ 8K↓ —
- branch-prGentleman-Programming/gentle-aiCreate Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.EngineeringNo warnings★ 8K↓ —
- chained-prGentleman-Programming/gentle-aiTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.EngineeringNo warnings★ 8K↓ —
- go-testingGentleman-Programming/gentle-aiTrigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.TestingNo warnings★ 8K↓ —
- rdd-defect-workflowGentleman-Programming/gentle-aiTrigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.ProductivityNo warnings★ 8K↓ —Also in 1 other repo
- skill-registryGentleman-Programming/gentle-aiTrigger: update skills, skill registry, actualizar skills, after skill changes. Index available skills by trigger and path.OtherNo warnings★ 8K↓ —
- rdd-advisory-transportGentleman-Programming/gentle-aiTrigger: reviewer transport, advisory transport, review adapter, lens prompt/schema, OpenCode reviewer plugin, Codex reviewer, ReviewProviderContract. Enforce the shared Go advisory reviewer transport contract.LegalNo warnings★ 8K↓ —
- gentle-ai-collab-perfectGentleman-Programming/gentle-aiTrigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the contribution flow is in scope: opening an issue, drafting or editing a PR body, splitting a change into chained/stacked PRs, or auditing a PR before requesting review.WritingNo warnings★ 8K↓ —
- gentle-ai-benchGentleman-Programming/gentle-aiTrigger: bench, journey, journeys, driven mode, gentle-ai-bench, journey corpus, j-numbers, bench axis. Author and verify gentle-ai bench journeys; go test ./bench never proves driven execution.TestingNo warnings★ 8K↓ —Also in 1 other repo
- issue-root-resolutionGentleman-Programming/gentle-aiTrigger: root audit, atacar la raíz, issue roots, backlog roots, mechanism map, deletion-driven fix, resolver issues de raíz, close outdated issues. Audit and resolve issue clusters by verified root cause.OtherNo warnings★ 8K↓ —
offensive-parameter-pollution
SnailSploit/Claude-Red
SecurityUpdated Oct 12, 2026
From the author
claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a specific attack surface — from SQLi to shellcode, EDR evasion to exploit development.
The frontmatter could not be read (no frontmatter); the folder name is shown instead.
Install
npx skills add SnailSploit/Claude-Red --skill offensive-parameter-pollution -a claude-code
Installs to .claude/skills/offensive-parameter-pollution/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 92
Security100
Provenance87
Maintenance100
Licence100
Adoption61
Files (1)
- SKILL.md