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.
npx skills add ashish7802/awesome-api-skills --skill deepseekgit clone --depth 1 https://github.com/ashish7802/awesome-api-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/skills/ashish7802/awesome-api-skills/deepseek)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/deepseek"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/deepseek/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/skills/ashish7802/awesome-api-skills/deepseek"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/deepseek.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 | $0.00000 | $0.00697 |
| Opus 5 | $0.00000 | $0.00349 |
| Sonnet 5 | $0.00000 | $0.00139 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade A, and why
deepseek 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 yesterday.
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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepSeek API Skill
Overview
DeepSeek provides state-of-the-art open reasoning and conversational language models via an OpenAI-compatible REST API. Key models include deepseek-chat (DeepSeek-V3) and deepseek-reasoner (DeepSeek-R1).
Installation
npm install openai
pip install openai
Authentication & Client Setup
import OpenAI from 'openai';
const deepseek = new OpenAI({
apiKey: process.env.DEEPSEEK_API_KEY,
baseURL: 'https://api.deepseek.com',
});
Core API Operations
1. General Conversational Chat (DeepSeek-V3)
const response = await deepseek.chat.completions.create({
model: 'deepseek-chat',
messages: [
{ role: 'system', content: 'You are an expert software architect.' },
{ role: 'user', content: 'Explain transaction isolation levels in PostgreSQL.' },
],
temperature: 0.7,
max_tokens: 2048,
});
console.log(response.choices[0].message.content);
2. Deep Reasoning Stream (DeepSeek-R1 with Chain-of-Thought)
const stream = await deepseek.chat.completions.create({
model: 'deepseek-reasoner',
messages: [
{ role: 'user', content: 'Prove that the square root of 2 is irrational.' },
],
stream: true,
});
for await (const chunk of stream) {
// Reasoning chain tokens
const reasoning = (chunk.choices[0]?.delta as any)?.reasoning_content;
if (reasoning) {
process.stdout.write(reasoning);
}
// Final output content tokens
const content = chunk.choices[0]?.delta?.content;
if (content) {
process.stdout.write(content);
}
}
3. Structured JSON Output
const response = await deepseek.chat.completions.create({
model: 'deepseek-chat',
messages: [
{ role: 'system', content: 'Extract entities and output valid JSON.' },
{ role: 'user', content: 'John bought 3 apples from Whole Foods for $4.50' },
],
response_format: { type: 'json_object' },
});
AI Pitfalls & Anti-Hallucination Guidelines
- Custom SDK Hallucination: There is no official
@deepseek/sdknpm package. Always use the officialopenaipackage withbaseURL: 'https://api.deepseek.com'. - Reasoning Content Ingestion: On
deepseek-reasoner, reasoning thoughts arrive underdelta.reasoning_content, notdelta.content. - System Prompt Restrictions:
deepseek-reasonerdiscourages heavy system prompt steering that constrains reasoning chains.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 87 lines · 0 tokens per session scan A 5437b5549c78
deepseek is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 697 tokens. 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 2026-09-10.
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