CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

meme-coin-audit

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.

69

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is an efficient, highly actionable checklist-style audit guide with concrete greps, kill criteria, and a working scanner integration, held back by a semi-pseudocode PoC template and a reference section whose target files are not present in the bundle. Structure and sequencing are good but not fully validated end-to-end.

Suggestions

Ship the referenced files inside the skill bundle (e.g. references/meme-coin-bugs.md, references/solana-token-audit.md, references/dex-lp-attacks.md, and a real scripts/token_scanner.py) and update the body's paths so every reference resolves.

Complete the Foundry PoC template so it is runnable — replace the '// ... buy tokens on Uniswap' and '// Assert token price crashed' ellipses with actual swap calls and price-diff assertions.

Add an explicit numbered audit sequence (pre-dive kills → greps per bug class → scanner → PoC → report) so the workflow order is unambiguous rather than implied by section layout.

DimensionReasoningScore

Conciseness

The body is dense and assumes competence (no explanations of what blockchains or LPs are), with every bug class compressed to a grep, a stat, and a kill criterion. Minor trimmable padding remains, e.g. the 'THE ONE RULE' pull-quote block and narrative comments in the PoC template ('Step 3: Victim's tokens are now worthless').

4 / 5

Actionability

Grep patterns, scanner invocations ('python3 bughunter/tools/token_scanner.py contracts/Token.sol'), and Solana CLI checks are copy-paste ready. However, the Foundry PoC template contains placeholder ellipses ('// ... buy tokens on Uniswap', '// ... Add liquidity', '// Assert token price crashed') making it a template rather than fully executable code.

4 / 5

Workflow Clarity

A clear sequence is implied and partially explicit — 'Check these BEFORE reading a single line of code' establishes the pre-dive gate, each bug class has a 'Kill if:' checkpoint, and the scanner section ends with what it does and does not check. Not a numbered end-to-end procedure, so it sits just below the fully-checkpointed anchor.

4 / 5

Progressive Disclosure

The closing 'FULL REFERENCE FILES' section is well-signaled with one-line descriptions, but the referenced paths ('web3/10-meme-coin-bugs.md', 'web3/11-solana-token-audit.md', 'web3/12-dex-lp-attacks.md', 'bughunter/tools/token_scanner.py') do not exist in this skill's bundle — no references/, scripts/, or assets/ directories are present — so navigation is broken. Additionally, the ~80-line Foundry PoC template is content that arguably belongs in a referenced file.

3 / 5

Total

15

/

20

Passed

Description

96%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A dense, highly specific description that explicitly answers both what the skill does and when to use it, with strong natural-language trigger terms. The only weakness is that the broad phrase 'any token audit' slightly overlaps with general contract-audit skills rather than carving an unambiguous niche.

DimensionReasoningScore

Specificity

The description lists multiple concrete, distinct capabilities: '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', 'DEX liquidity pool attacks', and 'token_scanner.py automation' — comprehensive coverage with no vague filler.

5 / 5

Completeness

Both 'what' (the enumerated audit capabilities) and 'when' are explicitly and concretely answered by the closing trigger clause: 'Use for any token audit, rug pull assessment, meme coin security review, or pre-investment due diligence.'

5 / 5

Trigger Term Quality

Natural user phrasings are well covered: 'token audit', 'rug pull assessment', 'meme coin security review', 'pre-investment due diligence', plus platform names users actually say (pump.fun, Raydium, Jupiter) and threat terms (honeypot, rug pull).

5 / 5

Distinctiveness Conflict Risk

The meme-coin/token-security niche is clear with distinct triggers, but 'Use for any token audit' plus 'token security audit' at the opening creates minor overlap risk with a general smart-contract audit skill; it is mostly distinct rather than fully conflict-free.

4 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Awarexone/Agentic-Bug-Hunter

Path

skills/meme-coin-audit/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.