artefact-logger
Log access to Claude configuration artefacts (CLAUDE.md, rules, skills, commands, agents). This skill should be invoked automatically after reading configuration files to track usage.
Best use case
artefact-logger is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Log access to Claude configuration artefacts (CLAUDE.md, rules, skills, commands, agents). This skill should be invoked automatically after reading configuration files to track usage.
Teams using artefact-logger should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/artefact-logger/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How artefact-logger Compares
| Feature / Agent | artefact-logger | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Log access to Claude configuration artefacts (CLAUDE.md, rules, skills, commands, agents). This skill should be invoked automatically after reading configuration files to track usage.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Artefact Logger Log access to Claude configuration artefacts for usage tracking. ## When to Use Invoke this skill after reading: - `CLAUDE.md` files - `.claude/rules/**` files - `.claude/skills/**` files - `.skills/commands/**` files - `.claude/agents/**` files (custom agents only, not internal Task tool agents) ## How to Log Run the script with required arguments: ```bash .claude/skills/artefact-logger/scripts/log-artefact.sh "<name>" "<path>" "<type>" ``` ### Arguments | Argument | Description | Valid Values | | -------- | ---------------------------- | ------------------------------------------------ | | `name` | Filename or skill/agent name | Any string | | `path` | Relative path or identifier | Any path string | | `type` | Artefact type | `claude_md`, `rule`, `skill`, `command`, `agent` | ### Examples ```bash # Log CLAUDE.md access .claude/skills/artefact-logger/scripts/log-artefact.sh "CLAUDE.md" "CLAUDE.md" "claude_md" # Log rule access .claude/skills/artefact-logger/scripts/log-artefact.sh "standard-changelog.md" ".claude/rules/packmind/standard-changelog.md" "rule" # Log skill invocation .claude/skills/artefact-logger/scripts/log-artefact.sh "signal-capture" "signal-capture" "skill" ``` ## Notes - Do NOT log internal Task tool agents (Explore, Plan, Bash, general-purpose, etc.) - Only log custom agents defined in `.claude/agents/**` - The script creates `.claude/artefacts.yaml` if missing - Each access is logged with an ISO 8601 timestamp
Related Skills
action_logger
Keep an audit trail of changes, commands, and verification.
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
moai-lang-r
R 4.4+ best practices with testthat 3.2, lintr 3.2, and data analysis patterns.
moai-lang-python
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.
moai-icons-vector
Vector icon libraries ecosystem guide covering 10+ major libraries with 200K+ icons, including React Icons (35K+), Lucide (1000+), Tabler Icons (5900+), Iconify (200K+), Heroicons, Phosphor, and Radix Icons with implementation patterns, decision trees, and best practices.
moai-foundation-trust
Complete TRUST 4 principles guide covering Test First, Readable, Unified, Secured. Validation methods, enterprise quality gates, metrics, and November 2025 standards. Enterprise v4.0 with 50+ software quality standards references.
moai-foundation-memory
Persistent memory across sessions using MCP Memory Server for user preferences, project context, and learned patterns
moai-foundation-core
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
moai-cc-claude-md
Authoring CLAUDE.md Project Instructions. Design project-specific AI guidance, document workflows, define architecture patterns. Use when creating CLAUDE.md files for projects, documenting team standards, or establishing AI collaboration guidelines.
moai-alfred-language-detection
Auto-detects project language and framework from package.json, pyproject.toml, etc.
mnemonic
Unified memory system - aggregates communications and AI sessions across all channels into searchable, analyzable memory
mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems