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.
git clone --depth 1 https://github.com/juanmhidalgo/claude-pluginsWrote 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/commands/juanmhidalgo/claude-plugins/frontend-to-backend)<a href="https://agentmods.dev/commands/juanmhidalgo/claude-plugins/frontend-to-backend"><img src="https://agentmods.dev/badge/commands/juanmhidalgo/claude-plugins/frontend-to-backend/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/commands/juanmhidalgo/claude-plugins/frontend-to-backend"><img src="https://agentmods.dev/badge/commands/juanmhidalgo/claude-plugins/frontend-to-backend.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 | $0.00042 | $0.01471 |
| Opus 5 | $0.00021 | $0.00736 |
| Sonnet 5 | $0.00008 | $0.00294 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
frontend-to-backend 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 5d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend to Backend Handoff
Generate a structured prompt that a backend agent can use to implement API changes requested by frontend requirements.
Context
- Current branch: !
git branch --show-current
Target: $ARGUMENTS
<best_practices> @handoff/skills/api-change-documentation/SKILL.md </best_practices>
Instructions
Step 1: Understand the Frontend Requirement
- If a file path is provided, read the relevant frontend code
- Identify what data the frontend needs:
- What UI component or feature requires this?
- What data is currently missing or insufficient?
- What user action triggers this need?
Step 2: Analyze Existing APIs
- Search for related existing endpoints
- Determine if this can be solved by:
- Extending an existing endpoint
- Adding query parameters
- Creating a new endpoint
Step 3: Define the Request
Document what the frontend needs:
- Data fields required
- Filtering/sorting/pagination needs
- Expected response structure
- Error scenarios to handle
Step 4: Generate Handoff Prompt
Output the following structured prompt that can be given to a backend agent:
Handoff Prompt Output Format
# Backend Implementation: [Feature/API Name]
## Context
[1-2 sentences explaining the UI/UX requirement and why this API change is needed]
**Requesting team**: Frontend
**Priority**: [High | Medium | Low]
**Blocking**: [Yes/No - is frontend blocked waiting for this?]
## Requirement Summary
[Plain language description of what data the frontend needs and how it will be used]
## Proposed Endpoint(s)
### [METHOD] /api/suggested/path
**Purpose**: [What this endpoint does]
**Request**:
```json
{
"field": "type - description",
"optional_field?": "type - description"
}
Query Parameters (if applicable):
| Parameter | Type | Required | Description |
|---|---|---|---|
param |
string |
No | Description |
Response:
{
"data": {
"field": "type - description"
},
"meta": {
"total": "number - for paginated responses"
}
}
Validation Requirements
- [Field validation rules]
- [Business logic constraints]
- [Authorization requirements]
Error Scenarios
| Scenario | Expected Status | Error Code |
|---|---|---|
| [Scenario] | 400/404/etc | ERROR_CODE |
Performance Considerations
- Expected call frequency: [e.g., "once per page load", "on every keystroke"]
- Data volume: [e.g., "typically 10-50 items", "could be 1000+ records"]
- Caching: [suggestions for caching strategy if applicable]
Alternatives Considered
[If applicable, mention alternatives that were ruled out and why]
Questions for Backend
- [Any clarifications needed from backend team]
Frontend Implementation Timeline
[When frontend plans to integrate this - helps backend prioritize]
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.
- 5d ago First seen · 199 lines · 42 tokens per session scan A 35df72e2d2e4
frontend-to-backend is a command published in the GitHub repository juanmhidalgo/claude-plugins (8 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,471 once invoked, about $0.0002 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 2026-09-03.
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