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Agent skill · Audited from source

frontend-to-backend-requirements

skill · softaworks/agent-toolkitMIT licenceAudited 31 Oct 2026 · source 28aecfe29fbf

★ 2,610pushed 240 days ago
✓SAFEGrade B · 89/100 · 31 Oct 2026 · 28aecfe
2,610repo stars · whole softaworks/agent-toolkit

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 28aecfe29fbf and found no filesystem, network or shell access and no hard-coded secrets. What it does: Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing…

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Cite this page

ModelsAtlas. “frontend-to-backend-requirements (softaworks/agent-toolkit)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/softaworks/frontend-to-backend-requirements

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium1 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS1
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (1)

Audit 0.4.1 · source sha 28aecfe29fbf · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishersoftaworks GitHub organizationOwner of the repository this skill is read from
  • Source foldersoftaworks/agent-toolkit/skills/frontend-to-backend-requirementsThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict28aecfe29fbfA new audit runs when the source changes
  • Repository statusNot archivedLast push 240 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing…

---
name: frontend-to-backend-requirements
description: Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing data needs for a UI.
---

# 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.md`
> **No 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:

1. **What is this?** — Screen, flow, component
2. **Who uses it?** — User type, permissions
3. **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.**

### Step 4: Leave Room for Discussion

End with open questions:
- "Would it make sense to...?"
- "Should I expect...?"
- "Is there a simpler way to...?"

---

## Output Format

Create `.claude/docs/ai/<feature-name>/backend-requirements.md`:

```markdown
# Backend Requirements: <Feature Name>

## Context
[What we're building, who it's for, what problem it solves]

## Screens/Components

### <Screen/Component Name>
**Purpose**: What this screen does

**Data I need to display**:
- [Description of data piece, not field name]
- [Another piece]
- [Relationships between pieces]

**Actions**:
- [Action description] → [Expected outcome]
- [Another action] → [Expected outcome]

**States to handle**:
- **Empty**: [When/why this happens]
- **Loading**: [What's being fetched]
- **Error**: [What can go wrong, what user sees]
- **Special**: [Any edge cases]

**Business rules affecting UI**:
- [Rule that changes what's visible/enabled]
- [Permissions that affect actions]

### <Next Screen/Component>
...

## Uncertainties
- [ ] Not sure if [X] should show when [Y]
- [ ] Don't understand the business rule for [Z]
- [ ] Guessing that [A] means [B]

## Questions for Backend
- Would it make sense to combine [X] and [Y]?
- Should I expect [Z] to always be present?
- Is there existing data I can reuse for [W]?

## Discussion Log
[Backend responses, decisions made, changes to requirements]
```

---

## Good vs. Bad Requests

### Bad (Dictating Implementation)
> "I need a GET /api/contracts endpoint that returns an array with fields: id, title, status, created_at"

### Good (Describing Needs)
> "I need to show a list of contracts. Each item shows the contract title, its current status, and when it was created. User should be able to filter by status."

### Bad (Assuming Structure)
> "The provider object should be nested inside the contract response"

### Good (Describing Relationship)
> "For each contract, I need to show who the provider is (their name and maybe logo)"

### Bad (No Context)
> "I need contract data"

### Good (With Context)
> "On the dashboard, there's a 'Recent Contracts' widget showing the 5 most recent contracts. User clicks one to go to detail page."

---

## Encouraging Pushback

Include these prompts in your requirements:

- "Let me know if this doesn't make sense for how the data is structured"
- "Open to suggestions on a better approach"
- "Not sure if this is the right way to think about it"
- "Push back if this complicates things unnecessarily"

**Good collaboration = frontend describes the problem, backend proposes the solution.**

---

## Rules

- **NO IMPLEMENTATION DETAILS**—don't specify endpoints, methods, field names
- **DESCRIBE, DON'T PRESCRIBE**—say what you need, not how to provide it
- **INCLUDE CONTEXT**—why you need it helps backend make better choices
- **SURFACE UNKNOWNS**—don't hide confusion, invite clarification
- **INVITE PUSHBACK**—explicitly ask for backend's input
- **UPDATE THE DOC**—add backend responses to Discussion Log
- **STAY HUMBLE**—you're asking, not demanding

---

## After Backend Responds

Update the requirements doc:
1. Add responses to Discussion Log
2. Adjust requirements based on feedback
3. Mark resolved uncertainties
4. Note any decisions made

The doc becomes the source of truth for what was agreed.

Excerpt, first 5,636 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 28aecfe

Download folder ↗
git clone https://github.com/softaworks/agent-toolkit
git -C agent-toolkit checkout 28aecfe29fbf

The author documents no install command, so this uses the repository directly. Our verdict covers commit 28aecfe29fbf only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 28aecfe29fbf

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Questions about frontend-to-backend-requirements

What does the frontend-to-backend-requirements skill do?
A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows.
Is frontend-to-backend-requirements safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can frontend-to-backend-requirements access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does frontend-to-backend-requirements work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (28aecfe29fbf), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

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