image-signature-verification

image-signature-verification is a skill for Claude Code, Codex from paruff/uFawkesAI. It costs 31 tokens per session (471 once invoked), scanned A, original, MIT.

A check that confirms a container image has a valid Cosign signature and trusted build information. Cosign is a tool for signing and verifying software images.

In plain words
What is it for?
Use it to verify key-based, keyless, or hardware-key signatures, signing identity, and attached provenance.
Why use it?
It helps ensure that the image came from the expected signer and was not changed before deployment.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; installed under .agents/ (shared by several agents); mentions Codex.

Good fit Use it to verify key-based, keyless, or hardware-key signatures, signing identity, and attached provenance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/paruff/ufawkesai/signature
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 paruff/uFawkesAI --skill signature
Clone the repo
git clone --depth 1 https://github.com/paruff/uFawkesAI

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 image-signature-verification

README.md
[![agentmods](https://agentmods.dev/badge/skills/paruff/ufawkesai/signature/github.svg)](https://agentmods.dev/skills/paruff/ufawkesai/signature)
Your own site
<a href="https://agentmods.dev/skills/paruff/ufawkesai/signature"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/signature/github.svg" alt="Measured on agentmods" height="20"></a>

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 image-signature-verification

Your own site · 80×15
<a href="https://agentmods.dev/skills/paruff/ufawkesai/signature"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/signature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 471 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 $0.00031 $0.00471
Opus 5 $0.00015 $0.00235
Sonnet 5 $0.00006 $0.00094
Haiku 4.5 $0.00003 $0.00047

Measured 8d ago against content hash 16a2b6eba093, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

image-signature-verification 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 8d 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.

.agents/skills/security-testing/container-security/signature/SKILL.md · 85 lines

What it actually says

Skill: Image Signature Verification

Load trigger: "load image-signature-verification skill" > DORA: Cap 1 (AI Policy) Token cost: Low

Purpose

Ensure all images are signed and verifiable before deployment.

Responsibilities

  • Validate Cosign signatures
  • Validate keyless signing
  • Validate provenance

Inputs

  • Container image

Outputs

  • signature.json

Signing Methods

Method Tool Use When
Key-based Cosign CI/CD pipeline
Keyless Cosign + OIDC GitHub Actions
Hardware key Cosign + HSM High security

Verification Commands

# Key-based
cosign verify --key cosign.pub <image>

# Keyless (GitHub Actions)
cosign verify --certificate-identity=... --certificate-oidc-issuer=... <image>

Validation Rules

  • Signature present
  • Signature valid
  • Signing identity matches expected
  • Provenance attached
  • Provenance valid

Output Format

{
  "skill": "image-signature-verification",
  "status": "pass | fail",
  "image": "my-app:v1.3.0",
  "signature": {
    "present": true,
    "valid": true,
    "method": "keyless",
    "identity": "https://github.com/paruff/uFawkesAI/.github/workflows/ci.yml",
    "issuer": "https://token.actions.githubusercontent.com"
  },
  "provenance": {
    "present": true,
    "valid": true
  }
}

Success Criteria

  • Valid signature and provenance
  • Signing identity verified
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. 8d ago First seen · 85 lines · 31 tokens per session scan A 16a2b6eba093

Subscribe to this mod's changes

image-signature-verification is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 31 tokens to every session and 471 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 2026-09-03.

Related

Other skills, from other repositories

infrastructure-docker

Container build and compose assets for the research template. Use when reproducing CI or cloud environments with Docker, following docs/CLOUDDEPLOY.md, or wiring Ollama sidecars via docker-compose.

docxology/template · 44 tokens

dokploy-deploy

This skill should be used when user asks to "deploy with Dokploy", "use Dokploy Cloud", "manage self-hosted Dokploy", "deploy Docker Compose on Dokploy", "manage Dokploy databases", "configure Dokploy domains", or "look up Dokploy CLI commands".

fcakyon/claude-codex-settings · 63 tokens

planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps taskplan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and…

mxyhi/ok-skills · 117 tokens

devops-infrastructure

Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.

CloudAI-X/claude-workflow-v2 · 57 tokens

qdrant-deployment-options

Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.

qdrant/skills · 79 tokens

module-scaffold

Given a component name, generate a complete standalone ODH module operator repository. Produces Go module, CRD types implementing PlatformObject, controller skeleton with reconciler builder pattern, Helm chart, Makefile, CI config, singleton webhook, and AGENTS.md. Use when starting a new module from scratch.

opendatahub-io/ai-helpers · 65 tokens