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 ishandutta2007/Awesome-Agent-Skills --skill source-driven-developmentgit clone --depth 1 https://github.com/ishandutta2007/Awesome-Agent-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/ishandutta2007/awesome-agent-skills/source-driven-development)<a href="https://agentmods.dev/skills/ishandutta2007/awesome-agent-skills/source-driven-development"><img src="https://agentmods.dev/badge/skills/ishandutta2007/awesome-agent-skills/source-driven-development.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 | $0.00040 | $0.01731 |
| Opus 5 | $0.00020 | $0.00865 |
| Sonnet 5 | $0.00008 | $0.00346 |
| Haiku 4.5 | $0.00004 | $0.00173 |
Grade A, and why
source-driven-development 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 7d 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.
This is a copy
100% identical to source-driven-development — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Source-Driven Development
Overview
Every framework-specific code decision must be backed by official documentation. Don't implement from memory — verify, cite, and let the user see your sources. Training data goes stale, APIs get deprecated, best practices evolve. This skill ensures the user gets code they can trust because every pattern traces back to an authoritative source they can check.
When to Use
- The user wants code that follows current best practices for a given framework
- Building boilerplate, starter code, or patterns that will be copied across a project
- The user explicitly asks for documented, verified, or "correct" implementation
- Implementing features where the framework's recommended approach matters (forms, routing, data fetching, state management, auth)
- Reviewing or improving code that uses framework-specific patterns
- Any time you are about to write framework-specific code from memory
When NOT to use:
- Correctness does not depend on a specific version (renaming variables, fixing typos, moving files)
- Pure logic that works the same across all versions (loops, conditionals, data structures)
- The user explicitly wants speed over verification ("just do it quickly")
The Process
DETECT ──→ FETCH ──→ IMPLEMENT ──→ CITE
│ │ │ │
▼ ▼ ▼ ▼
What Get the Follow the Show your
stack? relevant documented sources
docs patterns
Step 1: Detect Stack and Versions
Read the project's dependency file to identify exact versions:
package.json → Node/React/Vue/Angular/Svelte
composer.json → PHP/Symfony/Laravel
requirements.txt / pyproject.toml → Python/Django/Flask
go.mod → Go
Cargo.toml → Rust
Gemfile → Ruby/Rails
State what you found explicitly:
STACK DETECTED:
- React 19.1.0 (from package.json)
- Vite 6.2.0
- Tailwind CSS 4.0.3
→ Fetching official docs for the relevant patterns.
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.
- 7d ago First seen · 195 lines · 40 tokens per session scan A b979e7531ea6
source-driven-development is a skill published in the GitHub repository ishandutta2007/Awesome-Agent-Skills (20 stars, last pushed 28d ago), licensed MIT. It adds 40 tokens to every session and 1,731 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to source-driven-development, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
thetoolforthat
Guide for discovering 540+ developer tools, design resources, AI platforms, and agencies using the thetoolforthat MCP server. Use when asked to find tools for a project, recommend tech stack components, discover design agencies, or search for specific tool categories.
check-mcp-json
Safely review, triage, repair, and merge ToolSDK MCP Registry package JSON pull requests. Use when an agent needs to validate files under packages/, detect duplicate registry keys, classify community PRs, make authorized fixes on contributor branches, close invalid or duplicate PRs, or squash-merge approved PRs.
vox-video-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end with Aliyun Bailian CLI + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage"…
bailian-train-deploy
A workflow for using Alibaba Cloud’s Bailian command-line tool to fine-tune or directly deploy AI models as callable services. It covers text, speech-synthesis, image-generation, and video-generation models.
spark-video-cast
Scaffold and generate reference assets for characters (cast), locations (movie-set / set dressing), and key props — the three pillars of visual consistency in spark-video. Wraps bl image generate / edit for portrait creation. Use when adding new characters/locations/props or when costume/state changes are needed.
spark-video-screenwriter
Turn a user's premise into a structured screenplay (one scene at a time) for the spark-video pipeline. Wraps Shanyin Super Screenwriting Master when available — that upstream Shanyin SKILL is the single source of truth for craft when present.