Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add terrylica/cc-skills --skill removegit clone --depth 1 https://github.com/terrylica/cc-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/terrylica/cc-skills/remove)<a href="https://agentmods.dev/skills/terrylica/cc-skills/remove"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/remove.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00586 |
| Opus 5 | $0.00015 | $0.00293 |
| Sonnet 5 | $0.00006 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade C, and why
remove scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf ~/.cache/huggingface/hub/models--mlx-community--Kokoro-82M-bf16 How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remove Kokoro TTS
Clean uninstall of the Kokoro TTS engine. Preserves model cache by default.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
What Gets Removed
- Python venv at
~/.local/share/kokoro/.venv - Scripts:
tts_generate.py,kokoro_common.py - Metadata:
version.json - Directory
~/.local/share/kokoro/(if empty after cleanup)
What Gets Preserved
- Model cache at
~/.cache/huggingface/hub/models--mlx-community--Kokoro-82M-bf16/ - Launchd plist (if server was configured)
Workflow
Step 1: Confirm with user
Use AskUserQuestion to confirm removal. Mention what will be removed and what will be preserved.
Step 2: Stop server (if running)
# Stop launchd service if exists
launchctl bootout gui/$(id -u) ~/Library/LaunchAgents/com.terryli.kokoro-tts-server.plist 2>/dev/null || true
Step 3: Uninstall
ROOT="$(cc-plugin-root kokoro-tts)"
bash "$ROOT/scripts/kokoro-install.sh" --uninstall
Step 4: (Optional) Remove model cache
Only if user explicitly requests full cleanup:
rm -rf ~/.cache/huggingface/hub/models--mlx-community--Kokoro-82M-bf16
Step 5: (Optional) Remove launchd plist
rm -f ~/Library/LaunchAgents/com.terryli.kokoro-tts-server.plist
Post-Removal
To reinstall later: /kokoro-tts:install
Post-Execution Reflection
After this skill completes, reflect before closing the task:
- Locate yourself. — Find this SKILL.md's canonical path before editing.
- What failed? — Fix the instruction that caused it.
- What worked better than expected? — Promote to recommended practice.
- What drifted? — Fix any script, reference, or dependency that no longer matches reality.
- Log it. — Evolution-log entry with trigger, fix, and evidence.
Do NOT defer. The next invocation inherits whatever you leave behind.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 74 lines · 30 tokens per session scan C cdecc7bc5220
remove is a skill published in the GitHub repository terrylica/cc-skills (62 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 586 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
Other skills, from other repositories
android-development
Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.
email-systems
Transactional email (Resend, SendGrid, SES), templates (React Email, MJML), deliverability (SPF/DKIM/DMARC), and inboxing best practices. Use when building email infrastructure, designing templates, or troubleshooting deliverability.
customer-persona-builder
Data-driven customer persona development combining market research, user behavior analysis, and segmentation frameworks. Use when creating buyer personas, ideal customer profiles (ICPs), or user archetypes.
devops-cloud
DevOps, cloud infrastructure, and platform engineering. Use when working with AWS, GCP, Azure, Kubernetes, Terraform, CI/CD pipelines, or infrastructure as code.
generic-design-system
Complete design system reference for any project - colors, typography, spacing, components, animations. Adapts to project theme and tech stack. Use when implementing UI, choosing colors, creating animations, or ensuring brand consistency. For new design systems, use ui-research skill first.
generic-code-reviewer
Review code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md workflow compliance. Supports any tech stack - HTML/CSS/JS, React, TypeScript, Node.js, Python, NestJS, Next.js, and more. Use when completing features, before commits, or reviewing pull requests.