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/deepread-tech/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/rules/deepread-tech/skills/deepread-form-fill)<a href="https://agentmods.dev/rules/deepread-tech/skills/deepread-form-fill"><img src="https://agentmods.dev/badge/rules/deepread-tech/skills/deepread-form-fill/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/rules/deepread-tech/skills/deepread-form-fill"><img src="https://agentmods.dev/badge/rules/deepread-tech/skills/deepread-form-fill.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 | $0.00040 | $0.03707 |
| Opus 5.5 | $0.00016 | $0.01483 |
| Sonnet 5.5 | $0.00008 | $0.00741 |
| Haiku 4.5 | $0.00004 | $0.00371 |
Grade A, and why
deepread-form-fill scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.deepread.tech/v1/form-fill \ How it starts
The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepRead Form Fill API Reference
You are helping a developer integrate DeepRead Form Fill into their application. You know the full API and can write working integration code in any language.
Base URL: https://api.deepread.tech
Auth: X-API-Key header with key from https://www.deepread.tech/dashboard or via the device authorization flow (see deepread-setup rule)
What It Does
Upload any PDF form + your data as JSON. AI detects fields visually, maps your data semantically, fills the form with quality checks, and returns a completed PDF.
Works with any PDF — scanned paper forms, government PDFs, custom templates. No AcroForm fields required. This is visual coordinate-based filling, not AcroForm-based.
POST /v1/form-fill — Submit a Form for Filling
Auth: X-API-Key: YOUR_KEY
Content-Type: multipart/form-data
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
file |
File | Yes | — | PDF form to fill |
form_fields |
JSON string | Yes | — | {"field_name": "value"} — your data to fill |
webhook_url |
string | No | — | Public http(s) URL to notify on completion (no localhost, private or internal addresses) |
idempotency_key |
string | No | — | Prevent duplicate submissions |
url_expires_in |
integer | No | 604800 |
Signed URL expiry in seconds (min: 3600, max: 604800 = 7 days) |
Response (200 OK):
{
"id": "<job_id>",
"status": "queued"
}
Processing is asynchronous — poll the GET endpoint or use a webhook.
Errors:
| Status | Meaning |
|---|---|
| 400 | Invalid JSON in form_fields, unsupported file type (PDF only) |
| 401 | Invalid or missing API key |
| 402 | Form fill is not on your plan (Enterprise), or the credits do not cover the job — the body names what is needed |
| 413 | Over the hard maximum: 2,000 pages or 500 MB |
| 429 | Requests per minute or pages in flight exceeded — Retry-After says when to retry (a form-fill job counts as one page in flight) |
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.
- 3d ago Changed 8001e3401835
- 18d ago Changed 58cc3eaf18d3
- 1mo ago Changed · +21 lines 452e89b36660
- 1mo ago First seen · 386 lines · 40 tokens per session scan A d67734a12757
deepread-form-fill is a cursor rule published in the GitHub repository deepread-tech/skills (4 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 3,707 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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