Agent skill

Trace Secret Propagation

by cyberful in cyberful/cyberful

Trace secret fingerprints through bounded offline configuration, deployment, log, and runtime snapshots to identify allowed placement, unexpected propagation, stale copies, and cleanup gaps without…

AGPL-3.0Auto-check passedSecurity

Install Trace Secret Propagation

skills CLI
$ npx skills add cyberful/cyberful --skill trace-secret-propagation -a claude-code

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

GitHub CLI
$ gh skill install cyberful/cyberful trace-secret-propagation --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/trace-secret-propagation .claude/skills/trace-secret-propagation && 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
trace-secret-propagation
GitHub stars
135
Token cost
~479 tokens
SKILL.md length
123 words
Files
9 (incl. scripts, references, assets)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Trace secret fingerprints through bounded offline configuration, deployment, log, and runtime snapshots to identify allowed placement, unexpected propagation, stale copies, and cleanup gaps without…

  • Security work in your project
  • Runs Python scripts from its folder

What it does

Trace Secret Propagation is an agent skill from cyberful/cyberful. Trace secret fingerprints through bounded offline configuration, deployment, log, and runtime snapshots to identify allowed placement, unexpected propagation, stale copies, and cleanup gaps without emitting secret values.

Its SKILL.md is about 480 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/secret-propagation-evidence.schema.json` and `assets/secret-propagation-input.example.json`).

It sits in 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

  • Security work in your project

Example prompts

  • “/trace-secret-propagation”

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

Trace Secret Propagation loads about 479 tokens when it runs, and up to ~717 if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~479
With references · SKILL.md plus every file in references/, read only if the agent opens them
~717

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). 123 words, ~479 tokens.

Download SKILL.mdSave it as .claude/skills/trace-secret-propagation/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
trace-secret-propagation
description
Trace secret fingerprints through bounded offline configuration, deployment, log, and runtime snapshots to identify allowed placement, unexpected propagation, stale copies, and cleanup gaps without emitting secret values.
metadata.domain
cloud-security
metadata.subdomain
secret-propagation
metadata.triggers
trace secret propagation, find credential copies, secret lifecycle evidence, configuration secret leakage, verify secret cleanup
metadata.tags
secrets, credentials, propagation, fingerprints, offline-analysis, lifecycle

Trace Secret Propagation

Trace digests, not plaintext. Start from engagement-supplied SHA-256 fingerprints and bounded JSON snapshots; never copy a discovered credential into the request or evidence artifact.

Stage scripts/trace_secret_propagation.py, its manifest, and the example. The analyzer is offline, opens only confined regular JSON files, starts no child process, and emits deterministic occurrence and lifecycle evidence under the output schema.

Read secret-propagation-method.md before interpreting an occurrence or absence. A missing digest can mean transformation or incomplete evidence, not successful cleanup.

Interpret the trace

Compare every occurrence against the marker's allowed artifact and JSON-pointer prefixes. Correlate first/last observations, rotation epoch, deployment version, revocation, and cleanup evidence. Report plaintext exposure only when the source artifact itself establishes it; the helper intentionally records only digests and pointers.

© 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/trace-secret-propagation of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • assets/secret-propagation-evidence.schema.json
  • assets/secret-propagation-input.example.json
  • assets/secret-propagation-input.schema.json
  • references/secret-propagation-method.md
  • scripts/manifest.json
  • scripts/trace_secret_propagation.py
  • tests/test_trace_secret_propagation.py

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Trace Secret Propagation 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.

Trace Secret Propagation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trace Secret Propagation this skillcyberful/cyberful135—~479Automated safety check: PassAGPL-3.0
Kubernetes Network Security Auditkubeshark/kubeshark12k—~7.3kAutomated safety check: NotesApache-2.0
Google Cloud PAM Helpergoogle/skills21k—~3.2kAutomated safety check: PassApache-2.0
Cyberowlaikarimhabush/cyberowl263—~2.5kAutomated safety check: PassMIT
DefectDojo Vulnerability ManagementAgentSecOps/SecOpsAgentKit220—~2.3kAutomated safety check: PassCustom licence
Runtime Provisionernealbridges/VulnHunter678—~1.1kAutomated safety check: PassApache-2.0

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Questions about Trace Secret Propagation

What does Trace Secret Propagation do?

Trace secret fingerprints through bounded offline configuration, deployment, log, and runtime snapshots to identify allowed placement, unexpected propagation, stale copies, and cleanup gaps without…. Trace Secret Propagation is an agent skill from cyberful/cyberful. Trace secret fingerprints through bounded offline configuration, deployment, log, and runtime snapshots to identify allowed placement, unexpected propagation, stale copies, and cleanup gaps without emitting secret values.

When should I use Trace Secret Propagation?

Trace Secret Propagation fits situations like: security work in your project.

How do I install Trace Secret Propagation in Claude Code?

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

How do I install Trace Secret Propagation in Codex?

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

Can I use Trace Secret Propagation 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 trace-secret-propagation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trace-secret-propagation, .gemini/skills/trace-secret-propagation, .github/skills/trace-secret-propagation and .opencode/skills/trace-secret-propagation in your project.

What does Trace Secret Propagation need to run?

Going by SKILL.md and its folder, Trace Secret Propagation needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Trace Secret Propagation 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 Trace Secret Propagation 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 Trace Secret Propagation use?

Trace Secret Propagation 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 Trace Secret Propagation use?

About 479 tokens (SKILL.md is roughly 1.9k 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 238 tokens, read only when the agent opens those files.

What are the alternatives to Trace Secret Propagation?

Skills that share tags, products or a category with Trace Secret Propagation: Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Google Cloud PAM Helper (google/skills, 21k stars), Cyberowlai (karimhabush/cyberowl, 263 stars) and DefectDojo Vulnerability Management (AgentSecOps/SecOpsAgentKit, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trace Secret Propagation?

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.