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 agentmods add commands/curiouslearner/devkit/helpgit clone --depth 1 https://github.com/CuriousLearner/devkitWhat 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 | $0.00009 | $0.00745 |
| Opus 5 | $0.00005 | $0.00373 |
| Sonnet 5 | $0.00002 | $0.00149 |
| Haiku 4.5 | $0.00001 | $0.00075 |
Grade A, and why
help 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevKit Plugin Help
DevKit is a comprehensive development toolkit providing 52 professional skills across 10 categories.
Quick Start
Invoke a skill:
@code-formatter
@test-generator format all JavaScript files
@api-tester test the /api/users endpoint
List all skills:
/devkit:list
Get this help:
/devkit:help
How Skills Work
Skills are specialized prompts that guide Claude Code through specific development tasks:
- Invoke with @ - Use
@skill-nameto activate a skill - Add context - Provide additional instructions after the skill name
- Follow guidance - Claude will use the skill's expertise to complete the task
Skill Categories
- development-workflow - Code formatting, testing, commits, documentation
- code-quality - Analysis, review, patterns, complexity
- api - Testing, documentation, mocking, OpenAPI
- database - Queries, migrations, schemas, optimization
- security - Auditing, scanning, compliance (defensive only)
- devops - Docker, logging, deployment, monitoring
- productivity - Scaffolding, snippets, search, git tools
- data-analytics - CSV, JSON, reports, charts
- language-specific - Python, Node, Go, Rust, Java tools
- collaboration - PRs, documentation, onboarding, architecture
Popular Skills
For Daily Development
@code-formatter- Format code across languages@test-generator- Generate unit tests@code-reviewer- Automated code review@commit-helper- Generate commit messages
For API Work
@api-tester- Test API endpoints@openapi-generator- Generate API specs@api-documentation- Document APIs
For Database Work
@query-builder- Build SQL queries@migration-generator- Create migrations@query-optimizer- Optimize queries
For Security
@dependency-auditor- Audit dependencies@secret-scanner- Scan for secrets@security-headers- Validate headers
For DevOps
@docker-helper- Docker assistance@deployment-checker- Pre-deployment checks@log-analyzer- Analyze logs
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.
- yesterday First seen · 116 lines · 9 tokens per session scan A 797e47107be7
help is a command published in the GitHub repository CuriousLearner/devkit (27 stars, last pushed 10mo ago), licensed MIT. It adds 9 tokens to every session and 745 once invoked, about $0.0000 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.