Capa Floss Adapter

Community

Sahil-SS9

capa-floss-adapter

Use capa capability rules and FLOSS string deobfuscation as triage hypothesis generators, always with manual verification.

Overview

Publisher	Sahil-SS9
Repository	`agent-personas`
Skill name	`capa-floss-adapter`
Stars	67
Forks	4
Bundled files	1
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Sahil-SS9 on GitHub. Read the source before you install it.

Installation

Install the Capa Floss Adapter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Sahil-SS9/agent-personas/tree/main/skills/capa-floss-adapter
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Sahil-SS9/agent-personas.git /tmp/agent-personas
mkdir -p .claude/skills
cp -r /tmp/agent-personas/skills/capa-floss-adapter .claude/skills/capa-floss-adapter

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capa Floss Adapter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Capa Floss Adapter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Capa Floss Adapter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

capa / FLOSS adapter

capa maps code to capability rules; FLOSS deobfuscates stack/encoded strings. Both are HYPOTHESIS generators: their output ranks where to look, and is never a conclusion. (Adapter structure original; tools are MIT/Apache third-party projects referenced, not embedded.)

When to use

Early triage and targeted sweeps on executable artefacts; most valuable on packed-adjacent or unfamiliar samples. Requires: tools installed/hosted in the analysis environment, version recorded.

Procedure

Run as evidence-backed triage: capa with its rule-version and match-locations; FLOSS with its decoded-string listings tied to addresses. Archive raw outputs with the evidence package.
Verify before reporting: each capability match is confirmed by reading the code path (the binary-structure-assembly loop) before it becomes a finding; mismatches between rule hits and actual code are recorded too.
Use FLOSS decoded strings to re-seed the search: config keys, C2 formats, command tables — then decode and hash the recovered artefacts through the security-investigation member.
Record limitations honestly: capa cannot reason about dynamically-decrypted capabilities it never saw; packed samples under-report; version-specific rules drift.

Decision rules

A capability label never appears in a report without its verifying evidence or an explicit "rule-hits only, unverified" tag.
Strings (plain or decoded) are hints; behaviour requires the mechanism chain.

Pitfalls

Copying capa output into findings verbatim.
Treating a rule-version change as a behaviour change in the artefact.

Done

Raw outputs archived, per-rule verification status recorded, decoded artefact hashes captured, limitations stated.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

NOTICE1 KB

Frequently asked questions

What does the Capa Floss Adapter AI skill do?

Use capa capability rules and FLOSS string deobfuscation as triage hypothesis generators, always with manual verification.

Why use Capa Floss Adapter on TypingMind?

Because you install it once and use it with any model. Capa Floss Adapter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Capa Floss Adapter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Sahil-SS9/agent-personas/tree/main/skills/capa-floss-adapter. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Capa Floss Adapter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Capa Floss Adapter?

As many as you like. As long as a model supports skills, you can use Capa Floss Adapter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Capa Floss Adapter AI skill free?

Yes. It is published on GitHub by Sahil-SS9 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

capa / FLOSS adapter

When to use

Procedure

Decision rules

Pitfalls

Done

Bundled files

Frequently asked questions

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