Config Gc
affaan-m/ECC
Garbage collection for your Claude Code configuration. An agent skill from affaan-m/ECC.
This skill should be used when the user asks about "garbage collection rules", "entropy fighting", "documentation staleness", "dead code detection", "convention drift", "periodic checks", "auto-fix…
Custom licenceAuto-check passed
Install Garbage Collection
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers garbage-collection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/garbage-collection .claude/skills/garbage-collection && rm -rf skills-srcUse ~/.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/
Install the "garbage-collection" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collection into .claude/skills/garbage-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "garbage-collection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers garbage-collection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-literacy-superpowers/skills/garbage-collection .agents/skills/garbage-collection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "garbage-collection" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collection into .agents/skills/garbage-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "garbage-collection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers garbage-collection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-literacy-superpowers/skills/garbage-collection .cursor/skills/garbage-collection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "garbage-collection" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collection into .cursor/skills/garbage-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "garbage-collection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Habitat-Thinking/ai-literacy-superpowers.git --path ai-literacy-superpowers/skills/garbage-collection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers garbage-collection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-literacy-superpowers/skills/garbage-collection .gemini/skills/garbage-collection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "garbage-collection" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collection into .gemini/skills/garbage-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "garbage-collection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers garbage-collectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-literacy-superpowers/skills/garbage-collection .github/skills/garbage-collection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "garbage-collection" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collection into .github/skills/garbage-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "garbage-collection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers garbage-collection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-literacy-superpowers/skills/garbage-collection .opencode/skills/garbage-collection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "garbage-collection" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/garbage-collection into .opencode/skills/garbage-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "garbage-collection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
garbage-collection- GitHub stars
- 114
- Token cost
- ~2.2k tokens
- SKILL.md length
- 1,099 words
- Files
- 2 (incl. references)
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
This skill should be used when the user asks about "garbage collection rules", "entropy fighting", "documentation staleness", "dead code detection", "convention drift", "periodic checks", "auto-fix…
- Works in 6 steps: Identify the entropy: what drifts over… → Describe the check: what would a… → Choose frequency: how fast does this… → …
- Asks about garbage collection rules
- SKILL.md covers Anatomy of a GC Rule, Choosing Frequency, The Auto-Fix Decision and Common GC Categories, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Garbage Collection is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks about "garbage collection rules", "entropy fighting", "documentation staleness", "dead code detection", "convention drift", "periodic checks", "auto-fix rules", or needs guidance on the Garbage Collection section of HARNESS.md.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/gc-catalogue.md`).
The repository describes itself as: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate….
When your agent uses it
- Asks about garbage collection rules
- Entropy fighting
- Documentation staleness
- Dead code detection
Example prompts
- “garbage collection rules”
- “entropy fighting”
- “documentation staleness”
- “/garbage-collection”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Identify the entropy: what drifts over time in this codebase?
- Describe the check: what would a reviewer look for?
- Choose frequency: how fast does this entropy accumulate?
- Decide enforcement: can a deterministic tool check this, or does it
- Apply the auto-fix rubric: is automated correction safe?
- Add the rule to HARNESS.md's Garbage Collection section
What it can do on your machine
Read from SKILL.md and the folder at commit 9d35995. 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
Garbage Collection loads about 2.2k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,099 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,099 words (~2,202 tokens).
“Garbage collection in a harness context means periodic checks that fight entropy — the slow drift that neither real-time hooks nor PR gates catch. Documentation goes stale, conventions erode, dead code accumulates, dependencies fall behind.”
- name
- garbage-collection
Files
SKILL.md and 1 other file (references) in ai-literacy-superpowers/skills/garbage-collection of Habitat-Thinking/ai-literacy-superpowers.
- SKILL.md
- references/gc-catalogue.md
Open the folder on GitHubat commit 9d35995
Compare with similar skills
Garbage Collection 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Garbage Collection this skillHabitat-Thinking/ai-literacy-superpowers | 114 | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Config Gcaffaan-m/ECC | 276k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Alfworld Object Disposerzjunlp/SkillNet | 1.4k | — | ~341 | Automated safety check: Pass | MIT | |
| Alfworld Receptacle Searcherzjunlp/SkillNet | 1.4k | — | ~709 | Automated safety check: Pass | MIT | |
| Jev Blocksautonomous-ai/openharness | 1.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Harness Gck1ein-chen/Harness-Starter | 119 | — | ~360 | Automated safety check: Pass | MIT |
Similar skills
Alfworld Object Disposer
zjunlp/SkillNet
This skill disposes of an object by placing it into a disposal receptacle like a garbage can.
Alfworld Receptacle Searcher
zjunlp/SkillNet
This skill searches for a specific receptacle (e.g., garbage can, cabinet) by systematically exploring the environment, checking multiple locations until found.
Jev Blocks
autonomous-ai/openharness
Design a falling-blocks challenge for Jev in blocks.json (gravity, speedup, garbage, a custom board, the piece mix, the style line), then read the verdict and report where Jev starts to break.
Harness Gc
k1ein-chen/Harness-Starter
Garbage Collection Agent — 定期扫描项目健康状态，检测文档/代码一致性漂移，自动发起修复提案。
Debug Bo Corruption
Xilinx/mlir-air
A skill your agent uses when an NPU kernel passes its standalone shape test but produces NaN, garbage, or stale values when invoked as part of a larger pipeline.
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Questions about Garbage Collection
What does Garbage Collection do?
This skill should be used when the user asks about "garbage collection rules", "entropy fighting", "documentation staleness", "dead code detection", "convention drift", "periodic checks", "auto-fix…. Garbage Collection is an agent skill from Habitat-Thinking/ai-literacy-superpowers.md.
When should I use Garbage Collection?
Garbage Collection fits situations like: asks about garbage collection rules; entropy fighting; documentation staleness; dead code detection.
How do I install Garbage Collection in Claude Code?
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/garbage-collection in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/garbage-collection in your project. Claude Code loads it when a task matches its description.
How do I install Garbage Collection in Codex?
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/garbage-collection in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/garbage-collection in your project. Codex loads it when a task matches its description.
Can I use Garbage Collection 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 Habitat-Thinking/ai-literacy-superpowers --skill garbage-collection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/garbage-collection, .gemini/skills/garbage-collection, .github/skills/garbage-collection and .opencode/skills/garbage-collection in your project.
What does Garbage Collection need to run?
SKILL.md names no scripts, command-line tools or credentials: Garbage Collection is instructions for the agent only.
Does Garbage Collection 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 Garbage Collection 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 Garbage Collection use?
Garbage Collection has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Garbage Collection use?
About 2.2k tokens (SKILL.md is roughly 8.8k 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 1.8k tokens, read only when the agent opens those files.
What are the alternatives to Garbage Collection?
Skills that share tags, products or a category with Garbage Collection: Config Gc (affaan-m/ECC, 276k stars), Alfworld Object Disposer (zjunlp/SkillNet, 1.4k stars), Alfworld Receptacle Searcher (zjunlp/SkillNet, 1.4k stars) and Jev Blocks (autonomous-ai/openharness, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Garbage Collection?
Habitat-Thinking (a GitHub organization) maintains it in Habitat-Thinking/ai-literacy-superpowers, which has 114 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on September 20, 2026.
Source: Habitat-Thinking/ai-literacy-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.