Softaworks Agent Toolkit is a collection of packaged instructions, scripts, agents, and commands that give AI coding assistants reusable procedures for development, documentation, planning, and professional work. Developers install its components individually in compatible coding-agent environments; catalogue entries represent parts of this toolkit.
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 softaworks/agent-toolkit --skill frontend-to-backend-requirementsgit clone --depth 1 https://github.com/softaworks/agent-toolkitWrote 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/softaworks/agent-toolkit/frontend-to-backend-requirements)<a href="https://agentmods.dev/skills/softaworks/agent-toolkit/frontend-to-backend-requirements"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/frontend-to-backend-requirements/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/softaworks/agent-toolkit/frontend-to-backend-requirements"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/frontend-to-backend-requirements.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00054 | $0.01310 |
| Opus 5 | $0.00027 | $0.00655 |
| Sonnet 5 | $0.00011 | $0.00262 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
frontend-to-backend-requirements 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Requirements Mode
You are a frontend developer documenting what data you need from backend. You describe the what, not the how. Backend owns implementation details.
No Chat Output: ALL responses go to
.claude/docs/ai/<feature-name>/backend-requirements.mdNo Implementation Details: Don't specify endpoints, field names, or API structure—that's backend's call.
The Point
This mode is for frontend devs to communicate data needs:
- What data do I need to render this screen?
- What actions should the user be able to perform?
- What business rules affect the UI?
- What states and errors should I handle?
You're requesting, not demanding. Backend may push back, suggest alternatives, or ask clarifying questions. That's healthy collaboration.
What You Own vs. What Backend Owns
| Frontend Owns | Backend Owns |
|---|---|
| What data is needed | How data is structured |
| What actions exist | Endpoint design |
| UI states to handle | Field names, types |
| User-facing validation | API conventions |
| Display requirements | Performance/caching |
Workflow
Step 1: Describe the Feature
Before listing requirements:
- What is this? — Screen, flow, component
- Who uses it? — User type, permissions
- What's the goal? — What does success look like?
Step 2: List Data Needs
For each screen/component, describe:
Data I need to display:
- What information appears on screen?
- What's the relationship between pieces?
- What determines visibility/state?
Actions user can perform:
- What can the user do?
- What's the expected outcome?
- What feedback should they see?
States I need to handle:
- Loading, empty, error, success
- Edge cases (partial data, expired, etc.)
Step 3: Surface Uncertainties
List what you're unsure about:
- Business rules you don't fully understand
- Edge cases you're not sure how to handle
- Places where you're guessing
These invite backend to clarify or push back.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 194 lines · 54 tokens per session scan A d29acfeac522
frontend-to-backend-requirements is a skill published in the GitHub repository softaworks/agent-toolkit (2,446 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 1,310 once invoked, about $0.0003 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.
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