Agent skill

Test Service Workload Identity

by cyberful in cyberful/cyberful

Test service accounts, OAuth clients, workload federation, token exchange, audience binding, delegated actors, credential rotation, and machine-identity authorization.

AGPL-3.0Auto-check passedBackend & APIs

Install Test Service Workload Identity

skills CLI
$ npx skills add cyberful/cyberful --skill test-service-workload-identity -a claude-code

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

GitHub CLI
$ gh skill install cyberful/cyberful test-service-workload-identity --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/test-service-workload-identity .claude/skills/test-service-workload-identity && 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
test-service-workload-identity
GitHub stars
135
Token cost
~895 tokens
SKILL.md length
323 words
Files
9 (incl. scripts, references, assets)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Test service accounts, OAuth clients, workload federation, token exchange, audience binding, delegated actors, credential rotation, and machine-identity authorization.

  • Tasks that involve OAuth and OpenID Connect
  • SKILL.md covers Establish the identity contract, Run a bounded HTTP probe and Confirm authority changes
  • Runs Python scripts from its folder
  • Tasks that involve Authorization and RBAC

What it does

Test Service Workload Identity is an agent skill from cyberful/cyberful. Test service accounts, OAuth clients, workload federation, token exchange, audience binding, delegated actors, credential rotation, and machine-identity authorization.

Its SKILL.md is about 900 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/workload-identity-evidence.schema.json` and `assets/workload-identity-probe.example.json`).

It sits in Backend & APIs, covering OAuth and OpenID Connect and Authorization and RBAC. 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

  • Tasks that involve OAuth and OpenID Connect
  • Tasks that involve Authorization and RBAC

Example prompts

  • “/test-service-workload-identity”

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

Test Service Workload Identity loads about 895 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 323 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~895
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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). 323 words, ~895 tokens.

Download SKILL.mdSave it as .claude/skills/test-service-workload-identity/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
test-service-workload-identity
description
Test service accounts, OAuth clients, workload federation, token exchange, audience binding, delegated actors, credential rotation, and machine-identity authorization.
metadata.domain
identity-security
metadata.subdomain
workload-identity
metadata.triggers
workload identity testing, service account security, oauth client credentials, token exchange testing, workload federation review, machine identity…
metadata.tags
workload-identity, service-account, oauth, token-exchange, audience-binding, credential-rotation

Test Service and Workload Identity

Treat a workload identity as a principal with its own lifecycle and policy, not as a trusted transport. Distinguish workload actor, delegated human subject, client, issuer, audience, tenant, scopes, credential, and execution environment.

Establish the identity contract

Read references/workload-identity-method.md. Inventory issuance, federation, exchange, storage, delivery, rotation, revocation, and authorization. Record which runtime attributes are attested, which system maps them to an internal principal, and where delegated user context is preserved.

Create expected-success and expected-denial controls using tester-owned workloads and resources. Vary one property at a time: issuer, subject, audience, client, tenant, scope, token type, actor chain, credential state, environment, or target service.

Run a bounded HTTP probe

Use scripts/run_workload_identity_probe.py only after authority, exact origins, controlled identities, request ceiling, rate, and restoration steps are explicit. Copy assets/workload-identity-probe.example.json, preserve assets/workload-identity-probe.schema.json, and keep reusable credentials only in the variables declared by scripts/manifest.json.

The mission-bound Cyberful gateway or ZAP route is the transport authority. Campaign JSON is defense in depth: it can narrow exact origins, request limits, and an external authorization reference, but it cannot choose a proxy or CA bundle. The probe refuses a non-loopback HTTP(S) target unless cyberful-os supplied the matching HTTP_PROXY or HTTPS_PROXY; it inherits only that route and SSL_CERT_FILE or CURL_CA_BUNDLE after the model boundary. Loopback IP literals explicitly bypass proxy inheritance, and TLS verification remains enabled. The fixed curl command also enforces a global monotonic deadline, hard file limits, process-group cleanup, and secret redaction. Its output follows assets/workload-identity-evidence.schema.json and contains transport evidence, not a vulnerability verdict.

Code Audit must not execute this target-network probe. Audit source and configuration offline or use an authorized loopback lab.

Confirm authority changes

Confirm only when the receiving service accepts a workload or delegated identity outside its issuer, audience, tenant, scope, credential state, or actor policy and produces a protected effect. Record the identity tuple, expected binding, actual response, durable effect, replay conditions, and revocation result. Never persist raw credentials in artifacts.

© 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/test-service-workload-identity of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • assets/workload-identity-evidence.schema.json
  • assets/workload-identity-probe.example.json
  • assets/workload-identity-probe.schema.json
  • references/workload-identity-method.md
  • scripts/manifest.json
  • scripts/run_workload_identity_probe.py
  • tests/test_run_workload_identity_probe.py

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Test Service Workload Identity 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.

Test Service Workload Identity compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Test Service Workload Identity this skillcyberful/cyberful135—~895Automated safety check: PassAGPL-3.0
Cognitoitsmostafa/aws-agent-skills1.2k1 repos~2.3kAutomated safety check: PassMIT
Auth Implementation Patternsynulihao/AgentSkillOS61810 repos~4.4kAutomated safety check: PassNone
Soundcloud API Authsoundcloud/api259—~562Automated safety check: PassNone
Frontmcp Auth UIagentfront/frontmcp146—~3.7kAutomated safety check: PassApache-2.0
Supercheck Security Authsupercheck-io/supercheck215—~1.2kAutomated safety check: PassAGPL-3.0

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Categories

Questions about Test Service Workload Identity

What does Test Service Workload Identity do?

Test service accounts, OAuth clients, workload federation, token exchange, audience binding, delegated actors, credential rotation, and machine-identity authorization. Test Service Workload Identity is an agent skill from cyberful/cyberful. Test service accounts, OAuth clients, workload federation, token exchange, audience binding, delegated actors, credential rotation, and machine-identity authorization.

When should I use Test Service Workload Identity?

Test Service Workload Identity fits situations like: tasks that involve OAuth and OpenID Connect; tasks that involve Authorization and RBAC.

How do I install Test Service Workload Identity in Claude Code?

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

How do I install Test Service Workload Identity in Codex?

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

Can I use Test Service Workload Identity 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 test-service-workload-identity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-service-workload-identity, .gemini/skills/test-service-workload-identity, .github/skills/test-service-workload-identity and .opencode/skills/test-service-workload-identity in your project.

What does Test Service Workload Identity need to run?

Going by SKILL.md and its folder, Test Service Workload Identity needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Test Service Workload Identity 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 Test Service Workload Identity 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 Test Service Workload Identity use?

Test Service Workload Identity 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 Test Service Workload Identity use?

About 895 tokens (SKILL.md is roughly 3.6k 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 522 tokens, read only when the agent opens those files.

What are the alternatives to Test Service Workload Identity?

Skills that share tags, products or a category with Test Service Workload Identity: Cognito (itsmostafa/aws-agent-skills, 1.2k stars), Auth Implementation Patterns (ynulihao/AgentSkillOS, 618 stars), Soundcloud API Auth (soundcloud/api, 259 stars) and Frontmcp Auth UI (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Service Workload Identity?

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.