Agent skill

Audit Serverless Security

by cyberful in cyberful/cyberful

Audit serverless applications for event-source authority, function identity, tenant context, data exposure, retry behavior, deployment controls, and unsafe service integrations.

AGPL-3.0Auto-check passedBackend & APIs

Install Audit Serverless Security

skills CLI
$ npx skills add cyberful/cyberful --skill audit-serverless-security -a claude-code

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

GitHub CLI
$ gh skill install cyberful/cyberful audit-serverless-security --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-serverless-security .claude/skills/audit-serverless-security && 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-serverless-security
GitHub stars
135
Token cost
~577 tokens
SKILL.md length
159 words
Files
5 (incl. references, assets)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Audit serverless applications for event-source authority, function identity, tenant context, data exposure, retry behavior, deployment controls, and unsafe service integrations.

  • Cloud Functions
  • SKILL.md covers Trace event authority and Report boundaries
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Azure Functions

What it does

Audit Serverless Security is an agent skill from cyberful/cyberful. Audit serverless applications for event-source authority, function identity, tenant context, data exposure, retry behavior, deployment controls, and unsafe service integrations. Use for Lambda, Cloud Functions, Azure Functions, edge functions, or event-driven serverless review.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `agents/openai.yaml`, `assets/serverless-boundary-ledger.example.json` and `assets/serverless-boundary-ledger.schema.json`).

It sits in Backend & APIs, covering Serverless. It works with Azure Functions. 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

  • Cloud Functions
  • Azure Functions
  • Event-driven serverless review

Example prompts

  • “/audit-serverless-security”

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

    No scripts in the folder and no shell commands in SKILL.md.

    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 Serverless Security loads about 577 tokens when it runs, and up to ~855 if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~577
With references · SKILL.md plus every file in references/, read only if the agent opens them
~855

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 159 words, ~577 tokens.

Download SKILL.mdSave it as .claude/skills/audit-serverless-security/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
audit-serverless-security
description
Audit serverless applications for event-source authority, function identity, tenant context, data exposure, retry behavior, deployment controls, and unsafe service integrations. Use for Lambda, Cloud Functions, Azure Functions, edge functions, or event-driven serverless review.
metadata.domain
cloud-security
metadata.subdomain
serverless-applications
metadata.triggers
serverless security audit, lambda security review, cloud functions audit, function event authorization, serverless tenant isolation, event retry security
metadata.tags
serverless, event-sources, function-identity, tenant-isolation, cloud-functions, asynchronous-processing

Audit Serverless Security

Model the application as event sources, function identities, service integrations, asynchronous state, and deployment policies. Do not treat the function handler as the whole trust boundary: provider bindings and retry paths often decide authority before or after the code runs.

Trace event authority

Read references/serverless-boundary-method.md. Populate assets/serverless-boundary-ledger.example.json using assets/serverless-boundary-ledger.schema.json. For each trigger, record who can emit it, which identity executes, how tenant and actor context are derived, which destinations are reachable, and what happens on retry, duplication, delay, or dead-letter delivery.

Inspect deployment templates, resource policies, event filters, IAM bindings, environment variables, secret references, temporary storage, concurrency, egress, observability, and failure destinations. Confirm provider defaults from supplied configuration or authoritative deployment evidence rather than memory.

Report boundaries

Confirm a finding when an untrusted producer, confused service, or over-broad function identity can cause a protected effect or cross a tenant/data boundary. Separate code defects from resource-policy, event-binding, deployment, and operational gaps so ownership and remediation remain precise.

© 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 4 other files (references, assets) in cyberful/builtin/skills/audit-serverless-security of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • assets/serverless-boundary-ledger.example.json
  • assets/serverless-boundary-ledger.schema.json
  • references/serverless-boundary-method.md

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Audit Serverless Security 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 Serverless Security compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Serverless Security this skillcyberful/cyberful135—~577Automated safety check: PassAGPL-3.0
Serverless IntegrationsDataDog/dd-trace-js836—~1.1kAutomated safety check: PassCustom licence
Azure Functionsdavila7/claude-code-templates32k2 repos~344Automated safety check: PassMIT
Securing Serverless Functionsmukul975/Anthropic-Cybersecurity-Skills34k—~3.1kAutomated safety check: PassApache-2.0
Performing Serverless Function Security Reviewmukul975/Anthropic-Cybersecurity-Skills34k—~3.1kAutomated safety check: PassApache-2.0
Azure Validatemicrosoft/GitHub-Copilot-for-Azure2551 repos~880Automated safety check: PassMIT

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Works with

Categories

Questions about Audit Serverless Security

What does Audit Serverless Security do?

Audit serverless applications for event-source authority, function identity, tenant context, data exposure, retry behavior, deployment controls, and unsafe service integrations. Audit Serverless Security is an agent skill from cyberful/cyberful. Audit serverless applications for event-source authority, function identity, tenant context, data exposure, retry behavior, deployment controls, and unsafe service integrations.

When should I use Audit Serverless Security?

Audit Serverless Security fits situations like: cloud Functions; azure Functions; event-driven serverless review.

How do I install Audit Serverless Security in Claude Code?

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

How do I install Audit Serverless Security in Codex?

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

Can I use Audit Serverless Security 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-serverless-security -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-serverless-security, .gemini/skills/audit-serverless-security, .github/skills/audit-serverless-security and .opencode/skills/audit-serverless-security in your project.

What does Audit Serverless Security need to run?

SKILL.md names no scripts, command-line tools or credentials: Audit Serverless Security is instructions for the agent only.

Does Audit Serverless Security 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 Serverless Security 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. Review the folder before installing.

What licence does Audit Serverless Security use?

Audit Serverless Security 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 Serverless Security use?

About 577 tokens (SKILL.md is roughly 2.3k 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 278 tokens, read only when the agent opens those files.

What are the alternatives to Audit Serverless Security?

Skills that share tags, products or a category with Audit Serverless Security: Serverless Integrations (DataDog/dd-trace-js, 836 stars), Azure Functions (davila7/claude-code-templates, 32k stars), Securing Serverless Functions (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Performing Serverless Function Security Review (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Serverless Security?

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.