New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Audit AI Model Supply Chain

by cyberful in cyberful/cyberful

Audit local AI model, adapter, tokenizer, configuration, and packaging artifacts for provenance, integrity, dependency, serialization, license, and loading-risk evidence.

AGPL-3.0Auto-check passedSecurity

Install Audit AI Model Supply Chain

skills CLI
$ npx skills add cyberful/cyberful --skill audit-ai-model-supply-chain -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cyberful/cyberful audit-ai-model-supply-chain --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cyberful/builtin/skills/audit-ai-model-supply-chain .claude/skills/audit-ai-model-supply-chain && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-ai-model-supply-chain
GitHub stars
135
Token cost
~535 tokens
SKILL.md length
137 words
Files
9 (incl. scripts, references, assets)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Audit local AI model, adapter, tokenizer, configuration, and packaging artifacts for provenance, integrity, dependency, serialization, license, and loading-risk evidence.

  • Manifests must be traced from source and registry identity to the exact deployed artifact without network retrieval
  • SKILL.md covers Build the artifact chain and Confirm trust breaks
  • Runs Python scripts from its folder
  • Tasks that involve Supply chain security

What it does

Audit AI Model Supply Chain is an agent skill from cyberful/cyberful. Audit local AI model, adapter, tokenizer, configuration, and packaging artifacts for provenance, integrity, dependency, serialization, license, and loading-risk evidence. Use when model bytes or manifests must be traced from source and registry identity to the exact deployed artifact without network retrieval.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/model-supply-chain-campaign.example.json` and `assets/model-supply-chain-campaign.schema.json`).

It sits in Security, covering Supply chain security. The repository describes itself as: Cyberful is an open-source AI Red Team for discovering, exploiting, verifying, and remediating vulnerabilities. The licence is AGPL-3.0.

When your agent uses it

  • Manifests must be traced from source and registry identity to the exact deployed artifact without network retrieval
  • Tasks that involve Supply chain security

Example prompts

  • “/audit-ai-model-supply-chain”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ec598a6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Audit AI Model Supply Chain loads about 535 tokens when it runs, and up to ~708 if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 137 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~535
With references · SKILL.md plus every file in references/, read only if the agent opens them
~708

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 137 words, ~535 tokens.

Download SKILL.mdSave it as .claude/skills/audit-ai-model-supply-chain/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
audit-ai-model-supply-chain
description
Audit local AI model, adapter, tokenizer, configuration, and packaging artifacts for provenance, integrity, dependency, serialization, license, and loading-risk evidence. Use when model bytes or manifests must be traced from source and registry identity to the exact deployed artifact without network retrieval.
metadata.domain
ai-security
metadata.subdomain
model-supply-chain
metadata.triggers
AI model supply chain audit, model artifact provenance, adapter integrity review, tokenizer supply chain, unsafe model serialization
metadata.tags
model-artifacts, provenance, safetensors, pickle, adapters, artifact-integrity

Audit AI Model Supply Chain

Trace the exact bytes selected by the runtime. A registry name, model card, or checksum copied from the same untrusted source is not provenance.

Build the artifact chain

Record source, immutable revision, publisher identity, transfer path, digest, signature or attestation, format, loader, tokenizer, adapters, quantization, configuration, code-trust flags, native extensions, licenses, and deployment selection logic. Read references/model-artifact-provenance.md for format-specific hazards.

For repeatable local collection, stage scripts/run_model_supply_chain_campaign.py, its manifest, and the campaign example. The orchestrator uses a fixed Syft command, never updates or retrieves artifacts, and preserves bounded raw output.

Confirm trust breaks

Distinguish declared provenance, verified integrity, build inclusion, deployed selection, and runtime loading. Confirm only a path by which insufficiently authenticated bytes, executable serialization, untrusted remote code, mutable references, or adapter/tokenizer substitution can influence the deployed model behavior or host runtime.

© cyberful, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references, assets) in cyberful/builtin/skills/audit-ai-model-supply-chain of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • assets/model-supply-chain-campaign.example.json
  • assets/model-supply-chain-campaign.schema.json
  • assets/model-supply-chain-evidence.schema.json
  • references/model-artifact-provenance.md
  • scripts/manifest.json
  • scripts/run_model_supply_chain_campaign.py
  • tests/test_run_model_supply_chain_campaign.py

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Audit AI Model Supply Chain next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit AI Model Supply Chain compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit AI Model Supply Chain this skillcyberful/cyberful135—~535Automated safety check: PassAGPL-3.0
Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4811 repos~3.3kAutomated safety check: PassNone
Eu CraSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~4kAutomated safety check: PassMIT
Kesekit Checkcdppcorp/KESE-KIT360—~1.3kAutomated safety check: PassMIT
Bom Auditcdxgen/cdxgen1.1k—~2.4kAutomated safety check: PassApache-2.0

Similar skills

  • Skill Scanner

    getsentry/skills

    Official

    Scan agent skills for security issues. An agent skill from getsentry/skills.

    1k GitHub starsUsed in 4 repos~2.5k tokens
    SecurityAuto-check: warnings

  • Serenity Aleabitoreddit

    yan-labs/serenity-aleabitoreddit

    Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.

    481 GitHub starsUsed in 1 repo~3.3k tokens
    SecurityAuto-check passed

  • Eu Cra

    Sushegaad/Claude-Skills-Governance-Risk-and-Compliance

    Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the…

    946 GitHub starsUsed in 1 repo~4k tokens
    SecurityAuto-check passed

  • Kesekit Check

    cdppcorp/KESE-KIT

    Run a pre-deployment security compliance checklist based on KISA guidelines.

    360 GitHub stars~1.3k tokensUpdated 6 mo ago
    SecurityAuto-check passed

  • Bom Audit

    cdxgen/cdxgen

    Runs supply-chain risk analysis on CycloneDX BOMs with cdx-audit predictive auditing and cdxgen --bom-audit embedded rules, covering npm and PyPI package compromise posture, CI permission risk…

    1.1k GitHub stars~2.4k tokensUpdated today
    SecurityAuto-check passed

  • Packslip

    jdx/packslip

    Configure signed release manifests with packslip: add the jdx/packslip action or packslip create to a release workflow, declare completions, man pages, CLI specs, skills, and SBOMs as resources, and…

    137 GitHub stars~2.9k tokensUpdated today
    SecurityAuto-check passed

More from cyberful/cyberful

All 85 skills in this repo

  • Audit Infrastructure As Code

    cyberful/cyberful

    Audit infrastructure-as-code artifacts for unsafe defaults, policy gaps, privilege exposure, control drift, and deployment-impact evidence.

    135 GitHub stars~649 tokensUpdated 1 mo ago
    Auto-check passed

  • Audit Kubernetes Policy Enforcement

    cyberful/cyberful

    Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence.

    135 GitHub stars~610 tokensUpdated 1 mo ago
    Auto-check passed

  • Audit Pci Dss Penetration Test Evidence

    cyberful/cyberful

    Audit PCI DSS penetration-test methodology, scope, internal and external reports, segmentation results, tester independence, remediation, retesting, retention, and multi-tenant support evidence.

    135 GitHub stars~1k tokensUpdated 1 mo ago
    Auto-check passed

  • Operate Content Discovery

    cyberful/cyberful

    Design and interpret advanced content discovery with ffuf and complementary web fuzzers.

    135 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed

  • Operate Network Recon

    cyberful/cyberful

    Build a high-fidelity network and service inventory using Nmap, Masscan, packet capture, DNS, and protocol-specific follow-up.

    135 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed

  • Operate Sast Toolchain

    cyberful/cyberful

    Operate Semgrep and source-oriented static analysis as a hypothesis, coverage, and regression system during advanced code audits.

    135 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Audit AI Model Supply Chain

What does Audit AI Model Supply Chain do?

Audit local AI model, adapter, tokenizer, configuration, and packaging artifacts for provenance, integrity, dependency, serialization, license, and loading-risk evidence. Audit AI Model Supply Chain is an agent skill from cyberful/cyberful. Audit local AI model, adapter, tokenizer, configuration, and packaging artifacts for provenance, integrity, dependency, serialization, license, and loading-risk evidence.

When should I use Audit AI Model Supply Chain?

Audit AI Model Supply Chain fits situations like: manifests must be traced from source and registry identity to the exact deployed artifact without network retrieval; tasks that involve Supply chain security.

How do I install Audit AI Model Supply Chain in Claude Code?

Run `npx skills add cyberful/cyberful --skill audit-ai-model-supply-chain -a claude-code`. Or copy the skill folder (cyberful/builtin/skills/audit-ai-model-supply-chain in cyberful/cyberful) into .claude/skills/audit-ai-model-supply-chain in your project. Claude Code loads it when a task matches its description.

How do I install Audit AI Model Supply Chain in Codex?

Run `npx skills add cyberful/cyberful --skill audit-ai-model-supply-chain -a codex`. Or copy the skill folder (cyberful/builtin/skills/audit-ai-model-supply-chain in cyberful/cyberful) into .agents/skills/audit-ai-model-supply-chain in your project. Codex loads it when a task matches its description.

Can I use Audit AI Model Supply Chain in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cyberful/cyberful --skill audit-ai-model-supply-chain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-ai-model-supply-chain, .gemini/skills/audit-ai-model-supply-chain, .github/skills/audit-ai-model-supply-chain and .opencode/skills/audit-ai-model-supply-chain in your project.

What does Audit AI Model Supply Chain need to run?

Going by SKILL.md and its folder, Audit AI Model Supply Chain needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Audit AI Model Supply Chain access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit AI Model Supply Chain safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Audit AI Model Supply Chain use?

Audit AI Model Supply Chain is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit AI Model Supply Chain use?

About 535 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 173 tokens, read only when the agent opens those files.

What are the alternatives to Audit AI Model Supply Chain?

Skills that share tags, products or a category with Audit AI Model Supply Chain: Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars), Eu Cra (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars) and Kesekit Check (cdppcorp/KESE-KIT, 360 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit AI Model Supply Chain?

cyberful (a GitHub organization) maintains it in cyberful/cyberful, which has 135 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 24, 2026.

Source: cyberful/cyberful on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.