mattmre/reverse-engineering-improvement-loop
SKILLS/DEVELOPER TOOLS/reverse-engineering-improvement-loop/SKILL.md
Convert completed reverse-engineering work into better future workflows, skills, and panel narratives. Use after meaningful milestones, repeated friction, or major analysis wins.
$ install --global
skillsauthnpx skillsauth add mattmre/evokore-mcp reverse-engineering-improvement-loopInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 26, 2026, 12:25 PM58.9s1 file scanned
SKILL.md
- name:
- reverse-engineering-improvement-loop
- description:
- Convert completed reverse-engineering work into better future workflows, skills, and panel narratives. Use after meaningful milestones, repeated friction, or major analysis wins.
- aliases:
- [re-learning-loop, binary-analysis-improvement, re-retrospective]
- category:
- Developer Tools
- tags:
- [reverse-engineering, memory, evidence, improvement, orchestration]
- version:
- 1.0.0
- source:
- evokore
- derived_from:
- [panel-of-experts, persistent-narratives, improvement-cycles, session-wrap]
Reverse Engineering Improvement Loop
This skill keeps reverse engineering from resetting to zero every session. It is the slim memory layer: keep only what future runs can reuse.
Run This After
- a major unknown binary onboarding session
- a subsystem naming campaign
- a debugger session that resolved a recurring ambiguity
- a malware triage pass that changed the investigation direction
- any milestone where the same confusion or workaround showed up more than once
Workflow
- Review the evidence bundle, not just the final narrative.
- Extract recurring friction:
- wrong first tool choice
- missing checklist
- repeated breakpoint pattern
- weak handoff artifact
- panel coverage gap
- Convert the friction into a concrete improvement target:
- new skill
- updated workflow
- persona refinement
- new evidence template
- rule or automation candidate
- Keep only reusable conclusions in persistent memory.
- Feed the rest into normal session output and move on.
EVOKORE Hooks to Use
session-replayevidence-capturepersistent-narrativesimprovement-cyclessession-wrap
Good Output
- one durable lesson with proof
- one workflow change or skill candidate
- one memory update that future sessions should inherit
Anti-Pattern
Do not dump full transcripts into memory. If a future analyst cannot act on it quickly, it does not belong in the persistent layer.
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