Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senda-labs/DQIII8/main/.claude/skills/skill-create/SKILL.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote 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/senda-labs/dqiii8/skill-create)<a href="https://agentmods.dev/skills/senda-labs/dqiii8/skill-create"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/skill-create/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/senda-labs/dqiii8/skill-create"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/skill-create.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.00272 |
| Opus 5 | $0.00013 | $0.00136 |
| Sonnet 5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
skill-create scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/skill-create — Skill Generation from Git History
Analyzes DQIII8 repositories to extract real patterns and generate reusable skills.
Usage
/skill-create /skill-create --commits 100 /skill-create --repo /skill-create --instincts
What it does
- Parses git history — real commits, changed files, co-change frequency
- Filters noise — excludes merge commits, handover, auto-commit
- Detects patterns — repeated workflows, architecture, conventions
- Generates SKILL.md — compatible with DQIII8 INDEX.md
- Updates INDEX.md — adds the skill with status PENDING_REVIEW
Output
Skills go to skills-registry/custom/{skill-name}/SKILL.md Initial status: PENDING_REVIEW To approve: review → APPROVED → add to INDEX.md combo
Notes
- Output is skills-registry/custom/ — not .claude/skills/
- Do not load from cache/ without review
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.
- 9d ago First seen · 34 lines · 26 tokens per session scan A f3696a236669
skill-create is a skill published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 21d ago), licensed MIT. It adds 26 tokens to every session and 272 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
skill-design-lineage
Persist design documents with branch tracking, revision chains, and cross-session discovery.
skill-ship
Package and finalize completed work for delivery — use when a feature is done and ready to ship.
maintenance-orchestration
Technical debt management including branch cleanup, doc verification, TODO scanning, and dependency auditing.
worktree-isolation
Manage git worktree lifecycle for safe, isolated parallel development.
github-sync
Bidirectional synchronization of epics and tasks with GitHub issues, labels, and relationships.
checkpoint-management
Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.