deepapi

deepapi is a skill for Claude Code, Codex from attentiondotnet/davidondrej-skills. It costs 25 tokens per session (6,681 once invoked), scanned A, original, MIT.

A tool for using DeepAPI, an online service for scraping public web data and handling email drafts or sending.

In plain words
What is it for?
Use it for public-web scraping or DeepAPI email work. It supports drafting and reading, while sending requires the appropriate request mode.
Why use it?
It provides one defined way to perform those tasks while requiring the service's API settings and keeping email actions controlled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for public-web scraping or DeepAPI email work. It supports drafting and reading, while sending requires the appropriate request mode.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/attentiondotnet/davidondrej-skills/deepapi
Install

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.

Any agent
npx skills add attentiondotnet/davidondrej-skills --skill deepapi
Clone the repo
git clone --depth 1 https://github.com/attentiondotnet/davidondrej-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for deepapi

README.md
[![agentmods](https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/deepapi.svg)](https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/deepapi)
Your own site
<a href="https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/deepapi"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/deepapi.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,681 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.06681
Opus 5 $0.00013 $0.03341
Sonnet 5 $0.00005 $0.01336
Haiku 4.5 $0.00003 $0.00668

Measured 8d ago against content hash 97b3730e0bb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

deepapi 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 8d 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.

skills/research-and-web/deepapi/SKILL.md · 630 lines

How it starts

The opening of the file, as written. The whole thing — 630 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepAPI

Use this skill when the user asks you to scrape public web data or draft/read/send email through DeepAPI.

Staying Up To Date

Required Environment

  • Read DEEPAPI_API_BASE_URL from the environment.
  • Read DEEPAPI_API_KEY from the environment.
  • If either value is missing, stop and ask the user for setup.
  • Never commit, print, log, paste, or expose DEEPAPI_API_KEY.

Request Rules

  • Send Authorization: Bearer $DEEPAPI_API_KEY on every request.
  • Send Content-Type: application/json when sending JSON.
  • Send a unique Idempotency-Key for every POST.
  • For scrape work, set explicit maxCostUsd or maxCostMicrousd.
  • Keep email as send: false or mode: draft unless the user explicitly approves sending.
  • Do not pass inbox IDs. Use emailIdentityId or omit it.

Execution Loop

  1. Choose the narrowest endpoint that matches the task.
  2. Build the request from the endpoint schema and examples below.
  3. Run the request with the required headers.
  4. If the response has status: running, wait next.afterSecs and call next.method + next.path until status is succeeded or failed.
  5. If error.retryable is true, wait error.retryAfterSecs before retrying.
  6. If the response is HTTP 402 with error.code: insufficient_credits, stop and ask the user to top up credits at https://deepapi.co/credits. After top-up, retry with the same Idempotency-Key.
  7. Report requestId, status, debitMicrousd, costFinal, and the useful part of output.

Endpoints

Read the full file on GitHub · 630 lines

Changes

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.

  1. 8d ago First seen · 630 lines · 25 tokens per session scan A 97b3730e0bb3

Subscribe to this mod's changes

deepapi is a skill published in the GitHub repository attentiondotnet/davidondrej-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 6,681 once invoked, about $0.0001 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 2026-08-31.

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