ghidra-core-recon

ghidra-core-recon is a skill for Claude Code, Codex from mattmre/EVOKORE-MCP-PUBLIC. It costs 47 tokens per session (585 once invoked), scanned A, original, MIT.

A first survey of an unfamiliar compiled program using Ghidra, a tool for inspecting and decompiling machine code.

In plain words
What is it for?
Use it to inspect imports, exports, strings, symbols, entry points, and cross-references, then group findings into areas such as networking, storage, startup, or protection.
Why use it?
It quickly maps the program’s functions, external connections, text, and likely subsystems before deeper investigation begins.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect imports, exports, strings, symbols, entry points, and cross-references, then group findings into areas such as networking, storage, startup, or protection.

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Install with agentmods
npx agentmods add skills/mattmre/evokore-mcp-public/ghidra-core-recon
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mattmre/EVOKORE-MCP-PUBLIC --skill ghidra-core-recon
Clone the repo
git clone --depth 1 https://github.com/mattmre/EVOKORE-MCP-PUBLIC

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ghidra-core-recon

README.md
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Your own site
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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.

agentmods 80×15 button for ghidra-core-recon

Your own site · 80×15
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/ghidra-core-recon"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/ghidra-core-recon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 585 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.00585
Opus 5 $0.00023 $0.00293
Sonnet 5 $0.00009 $0.00117
Haiku 4.5 $0.00005 $0.00059

Measured 12d ago against content hash ffaccb134ed8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ghidra-core-recon 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 12d 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.

SKILLS/DEVELOPER TOOLS/ghidra-core-recon/SKILL.md · 72 lines

What it actually says

Ghidra Core Recon

Run a structured first pass that answers: what is this binary, what are the obvious hot spots, and where should deeper analysis begin?

Workflow

  1. Activate the relevant tools with discover_tools using a query like ghidra reverse engineering functions strings imports exports.
  2. Open or select the target program/project.
  3. Collect the following baseline inventory:
    • function list
    • imports and exports
    • strings
    • namespaces/classes if present
    • entry points and suspicious external references
  4. Cluster findings into likely subsystems:
    • loader / startup
    • networking / crypto
    • UI / CLI
    • persistence / filesystem
    • anti-analysis / protection
  5. Promote only the highest-value functions into the next phase.

Tool Families to Prefer

  • ghidra_headless_function.list
  • ghidra_headless_external.imports.list
  • ghidra_headless_external.exports.list
  • ghidra_headless_search.text
  • ghidra_headless_symbol.list
  • ghidra_headless_reference.to and ghidra_headless_reference.from

If the active child server exposes GhidraMCP-style names instead, use the equivalent live tools:

  • list functions / methods
  • list imports / exports
  • list strings
  • get xrefs to / from

Recon Questions

  • Which imports reveal the platform surface or runtime stack?
  • Which strings indicate protocols, file formats, paths, registry keys, mutexes, or command channels?
  • Which functions are large, highly connected, or referenced by many call sites?
  • Which exports define the public interface?
  • Which entry paths appear responsible for unpacking, initialization, configuration, or dispatch?

Deliverable Format

Produce a compact recon brief with:

  1. Binary purpose hypothesis
  2. Top 10 functions to inspect next
  3. High-signal strings
  4. High-signal imports/exports
  5. Three likely pivots for deeper semantic recovery
Changes

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.

  1. 12d ago First seen · 72 lines · 47 tokens per session scan A ffaccb134ed8

Subscribe to this mod's changes

ghidra-core-recon is a skill published in the GitHub repository mattmre/EVOKORE-MCP-PUBLIC (3 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 585 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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