Borrowing it
Nothing to install: this file belongs to Ekozmaster/Vibe-Reverse-Engineering. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Ekozmaster/Vibe-Reverse-Engineering/master/.claude/skills/dynamic-analysis/SKILL.mdgit clone --depth 1 https://github.com/Ekozmaster/Vibe-Reverse-EngineeringWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ekozmaster/vibe-reverse-engineering/dynamic-analysis)<a href="https://agentmods.dev/skills/ekozmaster/vibe-reverse-engineering/dynamic-analysis"><img src="https://agentmods.dev/badge/skills/ekozmaster/vibe-reverse-engineering/dynamic-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ekozmaster/vibe-reverse-engineering/dynamic-analysis"><img src="https://agentmods.dev/badge/skills/ekozmaster/vibe-reverse-engineering/dynamic-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.05582 |
| Opus 5.5 | $0.00033 | $0.02233 |
| Sonnet 5.5 | $0.00017 | $0.01116 |
| Haiku 4.5 | $0.00008 | $0.00558 |
Grade A, and why
dynamic-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dynamic Analysis with livetools
For DX9 FFP proxy porting and RTX Remix compatibility, invoke the dx9-ffp-port skill.
A live analysis toolkit for running processes. Attach, trace functions, collect data, inspect state, step through code, patch memory, analyze offline -- composable tools that chain naturally for any RE scenario.
All commands: python -m livetools <command> [args]
Quick Reference
Session
python -m livetools attach <name_or_pid> # attach to running process
python -m livetools attach <exe_path> --spawn # launch + instrument before init code runs
python -m livetools detach # release target, stop daemon
python -m livetools status # check state
Breakpoints (blocking)
python -m livetools bp add <addr> # set blocking code breakpoint
python -m livetools bp del <addr> # remove breakpoint
python -m livetools bp list # list all BPs + hit counts
Wait for Hit
python -m livetools watch --timeout 60 # block until BP hit (returns snapshot)
Inspect (while frozen)
python -m livetools regs # all registers
python -m livetools stack [N] # top N dwords from ESP (default 16)
python -m livetools mem read <addr> <size> # hex dump + multi-type interpretation
python -m livetools mem read <addr> <size> --as float32
python -m livetools disasm [addr] [-n count] # disassemble (default: EIP, 16 insns)
python -m livetools bt # call stack backtrace
Supported --as types: float32, float64, half, uint8, int8, uint16, int16, uint32, int32, ptr, ascii, utf16.
Control
python -m livetools step [over|into|out] # advance one instruction (returns snapshot)
python -m livetools resume # unfreeze target
Patch + Scan (anytime)
python -m livetools mem write <addr> <hex> # write bytes to live memory
python -m livetools mem alloc <size> # allocate rwx memory in target (for code caves)
python -m livetools scan <pattern> --range START:SIZE
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 486 lines · 83 tokens per session scan A c6a657b6ee69
dynamic-analysis is a skill published in the GitHub repository Ekozmaster/Vibe-Reverse-Engineering (61 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 5,582 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
dynamic-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dynamic-analysisEkozmaster/Vibe-Reverse-Engineering | Skill | 61 | 2mo ago | MIT | A | 83 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |