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-api)<a href="https://agentmods.dev/rules/deepread-tech/skills/deepread-api"><img src="https://agentmods.dev/badge/rules/deepread-tech/skills/deepread-api/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-api"><img src="https://agentmods.dev/badge/rules/deepread-tech/skills/deepread-api.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 | $0.00037 | $0.08618 |
| Opus 5.5 | $0.00015 | $0.03447 |
| Sonnet 5.5 | $0.00007 | $0.01724 |
| Haiku 4.5 | $0.00004 | $0.00862 |
Grade A, and why
deepread-api 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 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.
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/process \ How it starts
The opening of the file, as written. The whole thing — 754 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepRead API Reference
You are helping a developer integrate DeepRead 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 Agent Authentication below)
Agent Authentication (Device Authorization Flow)
These endpoints let an AI agent obtain an API key without the user ever copy/pasting secrets. Based on OAuth 2.0 Device Authorization Grant (RFC 8628).
POST /v1/agent/device/code — Request a Device Code
Auth: None (public endpoint)
Content-Type: application/json
{"agent_name": "my-agent"}
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_name |
string | No | Display name shown to the user during approval (e.g. "Claude Code", "My CI Bot"). Optional but strongly recommended — without it, the user sees "Unknown Agent". |
Response (200 OK):
{
"device_code": "a7f3c9d2e1b8...",
"user_code": "HXKP-3MNV",
"verification_uri": "https://www.deepread.tech/activate",
"verification_uri_complete": "https://www.deepread.tech/activate?code=HXKP-3MNV",
"expires_in": 900,
"interval": 5
}
| Field | Description |
|---|---|
device_code |
Secret code for polling — never show this to the user |
user_code |
Short code the user enters in their browser (format: XXXX-XXXX) |
verification_uri |
Base URL for manual code entry |
verification_uri_complete |
URL with code pre-filled — open this to skip manual entry (preferred) |
expires_in |
Seconds until the code expires (default: 900 = 15 minutes) |
interval |
Minimum seconds between poll requests |
POST /v1/agent/device/token — Poll for API Key
Auth: None (public endpoint)
Content-Type: application/json
{"device_code": "a7f3c9d2e1b8..."}
Poll this endpoint every interval seconds after the user has been shown the code.
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 Changed · -1 lines 54eae3e9377d
- 17d ago Changed · +1 lines bf1f5374fd85
- 20d ago Changed f89c533ed62b
- 27d ago Changed · +56 lines 1768f1efc72e
- 1mo ago Changed · +4 lines c9b9eaa5dfdc
- 1mo ago First seen · 694 lines · 37 tokens per session scan A dc73bce70c99
deepread-api is a cursor rule published in the GitHub repository deepread-tech/skills (4 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 8,618 once invoked, about $0.0001 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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