Agent skill

Audit Security Logging Telemetry

by cyberful in cyberful/cyberful

Audit security logging and telemetry from event creation through transport, storage, access, correlation, retention, and response use.

AGPL-3.0Auto-check passedSecurity

Install Audit Security Logging Telemetry

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

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

GitHub CLI
$ gh skill install cyberful/cyberful audit-security-logging-telemetry --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-security-logging-telemetry .claude/skills/audit-security-logging-telemetry && 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-security-logging-telemetry
GitHub stars
135
Token cost
~597 tokens
SKILL.md length
178 words
Files
5 (incl. references, assets)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Audit security logging and telemetry from event creation through transport, storage, access, correlation, retention, and response use.

  • Assess whether protected actions remain reconstructable under failure and adversarial pressure
  • SKILL.md covers Build the evidence chain and Confirm evidentiary impact
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Audit Security Logging Telemetry is an agent skill from cyberful/cyberful. Audit security logging and telemetry from event creation through transport, storage, access, correlation, retention, and response use. Use to assess whether protected actions remain reconstructable under failure and adversarial pressure.

Its SKILL.md is about 600 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/telemetry-coverage-ledger.example.json` and `assets/telemetry-coverage-ledger.schema.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

  • Assess whether protected actions remain reconstructable under failure and adversarial pressure

Example prompts

  • “/audit-security-logging-telemetry”

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 Security Logging Telemetry loads about 597 tokens when it runs, and up to ~938 if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 178 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~597
With references · SKILL.md plus every file in references/, read only if the agent opens them
~938

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). 178 words, ~597 tokens.

Download SKILL.mdSave it as .claude/skills/audit-security-logging-telemetry/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
audit-security-logging-telemetry
description
Audit security logging and telemetry from event creation through transport, storage, access, correlation, retention, and response use. Use to assess whether protected actions remain reconstructable under failure and adversarial pressure.
metadata.domain
detection-response
metadata.subdomain
security-telemetry
metadata.triggers
security logging audit, telemetry coverage review, audit trail integrity, detection evidence assessment, log retention controls, incident reconstruction…
metadata.tags
logging, telemetry, audit-trail, detection-engineering, retention, evidence-integrity

Audit Security Logging and Telemetry

Audit the complete evidence path, not the presence of logger calls. A useful event must be created at the protected decision, carry enough identity and causal context, survive transport and storage, remain access-controlled and time-coherent, and support an actual detection or reconstruction question.

Build the evidence chain

Read references/telemetry-evidence-method.md. Populate assets/telemetry-coverage-ledger.example.json under assets/telemetry-coverage-ledger.schema.json. Start from protected effects and abuse cases, then trace event producer, schema, correlation identifiers, clock source, buffering, transport, transformations, destination, retention, access, alert consumer, and evidence query.

Exercise success, denial, partial failure, retry, asynchronous continuation, privileged override, and destructive administration paths. Verify that sensitive fields are minimized and that log injection, truncation, duplicate delivery, loss, sampling, backpressure, time skew, tenant mixing, and operator tampering do not silently destroy meaning.

Confirm evidentiary impact

Report a gap only with the question that cannot be answered or the detection that cannot run, the affected event path, and the shortest reproducible loss or ambiguity mechanism. Separate absent telemetry, malformed semantics, unavailable retention, excessive observer authority, and an untested alert from a confirmed missed event.

© 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-security-logging-telemetry of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • assets/telemetry-coverage-ledger.example.json
  • assets/telemetry-coverage-ledger.schema.json
  • references/telemetry-evidence-method.md

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Audit Security Logging Telemetry 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 Security Logging Telemetry compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Security Logging Telemetry this skillcyberful/cyberful135—~597Automated safety check: PassAGPL-3.0
Fla Ascend Performancefla-org/flash-linear-attention5.8k—~6.3kAutomated safety check: PassMIT
Deepsec Documentation Guidevercel-labs/deepsec8.1k—~956Automated safety check: PassApache-2.0
Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4801 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0

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Categories

Questions about Audit Security Logging Telemetry

What does Audit Security Logging Telemetry do?

Audit security logging and telemetry from event creation through transport, storage, access, correlation, retention, and response use. Audit Security Logging Telemetry is an agent skill from cyberful/cyberful. Audit security logging and telemetry from event creation through transport, storage, access, correlation, retention, and response use.

When should I use Audit Security Logging Telemetry?

Audit Security Logging Telemetry fits situations like: assess whether protected actions remain reconstructable under failure and adversarial pressure.

How do I install Audit Security Logging Telemetry in Claude Code?

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

How do I install Audit Security Logging Telemetry in Codex?

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

Can I use Audit Security Logging Telemetry 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-security-logging-telemetry -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-security-logging-telemetry, .gemini/skills/audit-security-logging-telemetry, .github/skills/audit-security-logging-telemetry and .opencode/skills/audit-security-logging-telemetry in your project.

What does Audit Security Logging Telemetry need to run?

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

Does Audit Security Logging Telemetry 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 Security Logging Telemetry 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 Security Logging Telemetry use?

Audit Security Logging Telemetry 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 Security Logging Telemetry use?

About 597 tokens (SKILL.md is roughly 2.4k 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 341 tokens, read only when the agent opens those files.

What are the alternatives to Audit Security Logging Telemetry?

Skills that share tags, products or a category with Audit Security Logging Telemetry: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 480 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Security Logging Telemetry?

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.