eni-firmware-workflow
From the author
[DOCUMENTATION ONLY] [仅文档] Firmware and IoT extraction, filesystem, service, emulation, reverse engineering, validation, and reporting workflow.
Install
npx skills add alicewe1/alice_skill --skill eni-firmware-workflow -a claude-code
Installs to .claude/skills/eni-firmware-workflow/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (GPL-3.0) does not let us redistribute its files. The install commands fetch them from GitHub instead.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 80
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- eni-firmware-pentestalicewe1/alice_skill[DOCUMENTATION ONLY] [???] Firmware and IoT extraction, emulation, and assessment methodology.Security★ 52
- eni-software-workflowalicewe1/alice_skill[DOCUMENTATION ONLY] [仅文档] Software implementation, debugging, refactoring, testing, and delivery workflow. Automatically route matching coding tasks here without requiring an activation phrase.Productivity★ 52
- eni-reverse-workflowalicewe1/alice_skillDeep, evidence-driven reverse engineering workflow for PE, ELF, Mach-O, firmware, drivers, bytecode, protocols, and local binaries.Productivity★ 52
- eni-malware-ir-workflowalicewe1/alice_skill[DOCUMENTATION ONLY] [仅文档] Offline malware triage, capability analysis, memory forensics, timeline, IOC packaging, and incident-response workflow.Security★ 52
- eni-crack-workflowalicewe1/alice_skill[DOCUMENTATION ONLY] [仅文档] Owned crackme, validation logic, license research, compatibility patch, and challenge workflow using preserved copies, static analysis, dynamic traces, and regression evidence.Productivity★ 52
- mle-workflowmturac/everything-openai-codexProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.Productivity★ 83
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in