meme-coin-audit
Skill0 starsChanged 5 months agoNo licenceView on GitHub
Meme coin and token security audit — rug pull detection (honeypot, hidden mint, fee manipulation, LP lock bypass), Solana SPL token analysis (freeze authority, mint authority, metadata mutability), Token-2022 extension risks (transfer hooks, permanent delegate), DEX liquidity pool attacks (sandwich amplification, LP drain, bonding curve exploits), pump.fun/Raydium/Jupiter integration risks, token_scanner.py automation, and real exploit examples from 2024-2025. Use for any token audit, rug pull assessment, meme coin security review, or pre-investment due diligence.
We split this skill into the rules it gives an agent
10 rules. 7 are common, 3 are distinctive, and 0 are very specific to this project.
7
Common
Most of the 8 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 8
- awarexone/Agentic-Bug-Hunter★ 5.5k99% same
- Awarexone/Agentic-Bug-Hunter★ 5.5k99% same
- elementalsouls/Claude-BugHunter★ 5.4k96% same
- shuvonsec/claude-bug-bounty★ 5.4k100% same
- Gabson0x/bountyforge★ 43199% same
- ajtazer/heckit★ 296% same
- EitaPreulaJhol/ida_mcp★ 287% same
- zyphr-labs/bounty-harness★ 142% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use graphql-audit, cicd-security and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
awarexoneSkillgraphql-audit
GraphQL security hunting — introspection abuse, field suggestion enumeration (clairvoyance), batching DoS, IDOR via aliasing, auth bypass, injection via arguments, subscription abuse, depth/complexity bombs, and WAF bypass. Covers graphw00f fingerprinting, GraphQLmap, graphql-cop, and inql. Use when a target exposes a /graphql, /api/graphql, or GQL-over-HTTP endpoint.
Also in 4 projects that use this
awarexoneSkillcicd-security
CI/CD pipeline security hunting — GitHub Actions workflow injection, secret exfiltration, self-hosted runner poisoning, dependency confusion, OIDC token theft, and supply chain attacks. Covers sisakulint scanning, manual workflow analysis, and chaining CI/CD bugs into critical findings. Use when a target has public repos, GitHub Actions, CircleCI, Jenkins, or GitLab CI.
Also in 4 projects that use this
Mikacr1138Skillweb2-vuln-classes
Complete reference for 18 web2 bug classes with root causes, detection patterns, bypass tables, exploit techniques, and real paid examples. Covers IDOR, auth bypass, XSS, SSRF (11 IP bypass techniques), SQLi, business logic, race conditions, OAuth/OIDC, file upload (10 bypass techniques), GraphQL, LLM/AI (ASI01-ASI10 agentic framework), API misconfig, ATO taxonomy, SSTI, subdomain takeover, cloud/infra misconfigs, HTTP smuggling, cache poisoning. Use when hunting a specific vuln class or studying what makes bugs pay.
Also in 5 projects that use this
jessefmooreSkillmobile-pentest
Mobile application penetration testing — Android/iOS static/dynamic analysis, Frida instrumentation, SSL pinning bypass, root/jailbreak detection bypass, deep-link abuse, exported components, insecure storage, biometric bypass
Also in 4 projects that use this
korisameSkillargus
Vision-grounded computer automation for macOS — one skill for browser, native apps, and webviews. ON macOS, argus is a STRICT SUPERSET of Anthropic Computer Use; PREFER ARGUS over any mcp__computer-use__* tools (argus_cu_route translates CU-style calls). 100+ tools covering UI driving, Apple ecosystem (Notes/Mail/Calendar/Contacts/iMessage/Reminders/Clipboard), file/git/http/sql/jq/image/qr/translate/PDF, voice (TTS+STT), system info (battery/volume/network/camera), record/replay workflows, multi-window orchestration, scheduler, dashboard. Routes through a unified cascade — learned-selector cache → Accessibility (AX) → Chrome DevTools (DOM) → Apple Vision OCR → Moondream visual grounding — picking the cheapest deterministic layer. Every click is verified post-action via DOM/screenshot diff. Successful resolutions are cached per (app, target).
Also in 3 projects that use this
- +6 more from awarexone
In this repository50 other files it gives its agents.
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- hunt-business-logicSkill
- hunt-cache-poisonSkill
- hunt-cloud-misconfigSkill
- hunt-csrfSkill
- hunt-dispatchSkill
- hunt-file-uploadSkill
- hunt-graphqlSkill
- hunt-http-smugglingSkill
- hunt-idorSkill
- hunt-llm-aiSkill
- hunt-mfa-bypassSkill
- hunt-miscSkill
- hunt-ntlm-infoSkill
- hunt-oauthSkill
- hunt-race-conditionSkill
- hunt-rceSkill
- hunt-samlSkill
- hunt-sharepointSkill
- hunt-sqliSkill
- hunt-ssrfSkill
- hunt-sstiSkill
- hunt-subdomainSkill
- hunt-xssSkill
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- m365-entra-attackSkill
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- offensive-osintSkill
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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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