Results for “afl-tmin”
19 skillslibafl
Build and run custom fuzzers with LibAFL, a modular Rust fuzzing library, including drop-in libFuzzer replacement and custom component configuration.
61
libafl
LibAFL is a modular fuzzing library for building custom fuzzers. Use for advanced fuzzing needs, custom mutators, or non-standard fuzzing targets.
3
bitcoin-l2-merlin
Merlin Chain: largest Bitcoin L2 by TVL (2026), ZK rollup with EVM, 150+ dApps. Federation peg with planned trust-minimization. USE WHEN: evaluating Merlin for deployment, BTC DeFi.
28
libafl
Build custom fuzzers with a modular Rust library, supporting advanced mutation strategies, custom feedback mechanisms, and non-standard target architectures.
6k · bundle
ata-mild-ch-management
Manages suspected mild central hypothyroidism in patients with pituitary disease and low-normal free thyroxine (fT4). Initiates levothyroxine (L-T4) when suggestive symptoms are present or when serial fT4 shows a decrease of 20% or more.
10
afaz-action
Action (afaz-action)
1 · bundle
performing-adversary-in-the-middle-phishing-detection
Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy, Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens.
24.6k · bundle
worklink-tool-pins
Optional low-priority poller that inventories Worklink tool pins from <home>/worklink.yaml and files/reuses Chainlink bump issues when upstream versions drift. Opt-in: copy this directory into <home>/skills/worklink-tool-pins/ and configure tool_pins in worklink.yaml.
6 · bundle
aeon-defi-overview
Delivers a daily DeFi regime verdict (RISK-ON/NEUTRAL/RISK-OFF) from five named inputs, top TVL movers with causal reasoning, and a sustainable-vs-incentive yield split to distinguish real product-market fit from emissions-pumped APY.
1.2k · bundle
aflpp
AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.
3
afak-rule
Rule (afak-rule)
1 · bundle
design-md
Author/validate/export Google's DESIGN.md token spec files.
1 · bundle
tend
Tend the Allium garden. Use when the user wants to write, edit, update, add to, improve, clarify, refine, restructure, fix or migrate Allium specs. Covers adding entities, rules, triggers, surfaces and contracts, fixing syntax or validation errors, renaming or refactoring within specs, migrating specs to a new language version, and translating requirements into well-formed specifications. Pushes back on vague requirements.
0 · bundle
fill-fs
Use when annotating VCF files with flanking sequence information (INFO/FS tag) or masking regions/variants in flanking sequences.
0 · bundle
alimask
Use when masking columns or coordinate ranges in multiple-sequence alignments before downstream HMMER or alignment-processing steps.
0 · bundle
alphagbm-hedge-advisor
Given a stock ticker, cost basis, and position purpose, classifies the holding scenario and returns concrete hedge recommendations (Long Put, Collar, Tier-down) with live option strikes and premiums.
1.2k
adaf-memory
Memory (adaf-memory)
1 · bundle
matlab-design-ofdm-system
Read BEFORE writing any code that builds or simulates OFDM systems. The default MATLAB patterns for OFDM (e.g., direct ifft/fft, awgn with 0 dBW power, missing symOffset) produce subtly incorrect results — always use ofdmmod/ofdmdemod instead of direct IFFT/FFT. This skill specifies the correct calling conventions for ofdmmod, ofdmdemod, ofdmChannelResponse, ofdmEqualize, and critical anti-patterns that must be avoided. Use when building OFDM transmitters or receivers, allocating subcarriers and guard bands, inserting pilots, computing SNR for OFDM, configuring fading channels (Rayleigh/Rician), estimating and equalizing channels, implementing timing and frequency synchronization, adding LDPC coding, designing resource grids, or setting up OFDM link simulations.
920 · bundle
mcore-linting-and-formatting
Lint and format Python code for Megatron-LM using ruff, black, isort, pylint, and mypy, with commands for autoformatting and import ordering.
2.2k · bundle