Covert Channel Assessment logo

Covert Channel Assessment

Organization
zero-lab-ai
covert-channel-assessment

Assesses covert-channel and data-egress exposure, then plans or records bounded purple-team validation with synthetic data. Use when evaluating DNS, web, cloud, ICMP, tunnel, timing, steganographic, or dead-drop paths without turning a plausible route into a claim of successful exfiltration.

Overview

Publisherzero-lab-ai
Repositoryskills
Skill namecovert-channel-assessment
Stars
232
Forks
14
Bundled files
2
LicenseApache-2.0
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zero-lab-ai on GitHub. Read the source before you install it.

Installation

Install the Covert Channel Assessment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zero-lab-ai/skills/tree/main/plugins/network-protocol-security/skills/covert-channel-assessment
  4. 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.
2

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/zero-lab-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/network-protocol-security/skills/covert-channel-assessment .claude/skills/covert-channel-assessment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Covert Channel Assessment 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 Covert Channel Assessment 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 Covert Channel Assessment 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.

Covert channel assessment

A permitted protocol is not a working covert channel. A working channel is not automatically undetected. Keep route feasibility, execution proof, detection outcome, and data custody as separate claims.

This skill assesses supplied evidence and bounded synthetic tests. It does not provide payloads, encodings, tunneling commands, evasion settings, C2 design, pivoting, persistence, credential use, third-party abuse, or authority to move real data.

When to Use

  • Evaluating DNS, web, cloud, ICMP, tunnel, timing, steganographic, or dead-drop paths without turning a plausible route into a claim of successful exfiltration.
  • Use only within explicit authorization and the stated rules of engagement.

When NOT to Use

  • Do not treat this skill as permission to access, test, or change a target.
  • Do not convert missing evidence into a clean result or a stronger claim.

Workflow

  1. Record the written authorization, exact sources, assessment window, approved receivers, synthetic marker hash, byte and duration ceilings, prohibited data, services, and actions. Receiver ownership and authorization are different facts.
  2. Inventory evidence with source, locator, honest time precision, and integrity hash for copied artifacts. Use null time fields when the source supplies no observation time; the assessment window is not evidence time. Preserve unknowns; do not invent throughput, queries, alerts, endpoints, accounts, transfer times, or successful delivery.
  3. For every source, assess all eight approved channel families. Keep a family unknown or blocked when evidence is absent or testing is prohibited.
  4. Treat plausible as a route hypothesis. Use validated only after an authorized test records the approved marker, receiver, exact bounded times, observed bytes, source evidence, and receiver-side delivery evidence.
  5. Describe capacity as unknown, estimated, or measured. Only an executed test can produce measured throughput. Baselines describe normal traffic, not covert channel capacity.
  6. Inventory telemetry by source, health, retained fields, window, and limitation. Packet counts do not prove payload inspection; process telemetry does not prove delivery; a detection rule does not prove an alert fired.
  7. Predeclare a detection check for every planned or executed test. not-detected requires healthy telemetry queried across the entire test window. An absent alert without that evidence is inconclusive.
  8. Enforce byte and duration ceilings per test and in aggregate per source. Keep blocked or prohibited paths visible; do not force a transfer to complete coverage.
  9. Track marker creation, source staging, receiver storage, retention, and destruction for every planned or executed test. A synthetic marker still has a custody trail.
  10. Link medium-or-higher channels to an owned response: validate safely, improve telemetry, tighten egress, or accept the documented risk.

Interpretation rules

  • An allowed port proves a route control state, not delivery, throughput, or stealth.
  • Encryption protects content. It can increase entropy and does not erase volume, timing, destination, process, or policy observables.
  • A normal-volume test can validate content or rule coverage. It cannot prove that a larger transfer would blend into the baseline.
  • A blocked path can be a successful control result without becoming a validated channel.
  • Receiver logs prove delivery only for the receiver, marker, source, and window they identify. They do not prove endpoint cleanup.
  • Detection requires an alert or documented analytic result. Visibility means the telemetry existed; the two are not interchangeable.
  • A not-detected result is a real gap only when the expected telemetry was healthy and fully queried. Otherwise the result is inconclusive.

Boundary with adjacent skills

  • Use protocol-traffic-analysis to interpret supplied captures without transmitting.
  • Use detection-validate for the broader ATT&CK technique coverage map.
  • Use detection-engineering to build or tune the detector itself.
  • Command-and-control architecture design is outside this collection; this skill owns bounded channel exposure and detection validation only.
  • Use opsec-planning for a red-team operation's full artifact and detection-risk plan.
  • Use findings-report for final finding prose.

Rationalizations to reject

  • "Port 443 is open, so HTTPS exfiltration works." A route still depends on the proxy, allowlist, receiver, authentication, content controls, and actual delivery.
  • "No alert fired, so the channel is covert." Without healthy telemetry and a complete query, silence is an unknown observation.
  • "The file is synthetic, so the transfer limits do not matter." The exercise can still disrupt systems, trigger incidents, or teach the wrong control conclusion.
  • "Encryption makes the transfer invisible." Metadata, volume, timing, process, destination, and policy observables remain.
  • "We should try every channel to prove coverage." Blocked and prohibited paths are honest results; execution must stay inside the rules of engagement.
  • "A receiver log proves cleanup." Delivery, source deletion, receiver deletion, and retention are separate evidence.
  • "A complete record authorizes the test." It validates the record. Written authority and the operator govern execution.

Bundled files

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

Frequently asked questions

What does the Covert Channel Assessment AI skill do?

Assesses covert-channel and data-egress exposure, then plans or records bounded purple-team validation with synthetic data. Use when evaluating DNS, web, cloud, ICMP, tunnel, timing, steganographic, or dead-drop paths without turning a plausible route into a claim of successful exfiltration.

Why use Covert Channel Assessment on TypingMind?

Because you install it once and use it with any model. Covert Channel Assessment 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 Covert Channel Assessment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zero-lab-ai/skills/tree/main/plugins/network-protocol-security/skills/covert-channel-assessment. 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 Covert Channel Assessment?

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 Covert Channel Assessment?

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

Is the Covert Channel Assessment AI skill free?

Yes. It is published on GitHub by zero-lab-ai 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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