parallel-deep-research

parallel-deep-research is a skill for Claude Code, Codex from harshanandak/forge. It costs 226 tokens per session (1,074 once invoked), scanned A, original, MIT.

An external research tool that gathers information from many online sources and combines it into one cited report. It uses Parallel AI's paid research processors.

In plain words
What is it for?
Use it for market analyses, industry research, competitor comparisons, and strategic reports involving multiple companies, products, or technologies.
Why use it?
It reduces the time spent searching, comparing, and summarising sources for broad research questions. Information is sent to an outside service, so secrets and private data must not be included.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/harshanandak/forge/parallel-deep-research
Any agent
npx skills add harshanandak/forge --skill parallel-deep-research
Clone the repo
git clone --depth 1 https://github.com/harshanandak/forge

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 parallel-deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/harshanandak/forge/parallel-deep-research.svg)](https://agentmods.dev/skills/harshanandak/forge/parallel-deep-research)
Your own site
<a href="https://agentmods.dev/skills/harshanandak/forge/parallel-deep-research"><img src="https://agentmods.dev/badge/skills/harshanandak/forge/parallel-deep-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 226 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,074 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00226 $0.01074
Opus 5 $0.00113 $0.00537
Sonnet 5 $0.00045 $0.00215
Haiku 4.5 $0.00023 $0.00107

Measured 4d ago against content hash 888404cf09cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

parallel-deep-research 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 4d 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.

compatibility: Requires PARALLEL_API_KEY in .env.local. Uses curl. Takes 3-25 minutes.
.agents/skills/parallel-deep-research/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Deep Research

Comprehensive research reports with multi-source synthesis. Use pro (3-9 min, $0.10) or ultra (5-25 min, $0.30) for deep analysis.

Safety: The input is transmitted to Parallel AI's external service and may be logged or retained. Never include secrets, API keys/tokens, PII, or private/proprietary repo content — send only information safe to share with a third party.

CLI alternative (recommended): Install parallel-cli for official skill: npx skills add parallel-web/parallel-agent-skills --skill parallel-deep-research

Setup

API_KEY=$(grep "^PARALLEL_API_KEY=" .env.local | cut -d= -f2)

Create Research Task

curl -s -X POST "https://api.parallel.ai/v1/tasks/runs" \
  -H "x-api-key: $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Analyze the AI chatbot market. Include: size, growth, key players, trends, competitive threats",
    "processor": "pro"
  }'

Response: {"run_id": "trun_abc123...", "status": "queued"}

Get Result (polling)

The result endpoint returns both status and output in one call. Poll until status is completed.

RUN_ID="trun_abc123..."
MAX_POLLS=180  # 30 min max (180 × 10s)

for i in $(seq 1 $MAX_POLLS); do
  RESULT=$(curl -s "https://api.parallel.ai/v1/tasks/runs/$RUN_ID/result" \
    -H "x-api-key: $API_KEY")

  STATUS=$(echo "$RESULT" | grep -o '"status":"[^"]*"' | head -1 | cut -d'"' -f4)

  if [ "$STATUS" = "completed" ]; then
    echo "$RESULT"
    break
  elif [ "$STATUS" = "failed" ]; then
    echo "Task failed: $RESULT"
    break
  fi

  echo "Poll $i/$MAX_POLLS — Status: $STATUS"
  sleep 10
done

if [ "$i" = "$MAX_POLLS" ] && [ "$STATUS" != "completed" ] && [ "$STATUS" != "failed" ]; then
  echo "Timeout: task did not complete within 30 minutes"
fi

Processors

Processor Speed Cost Use For
pro 3-9 min $0.10/task Market analysis, strategic reports
ultra 5-25 min $0.30/task Comprehensive deep research

Read the full file on GitHub · 113 lines

Files

What ships with it

3 files 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.

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. 4d ago First seen · 113 lines · 226 tokens per session scan A 888404cf09cc

Subscribe to this mod's changes

parallel-deep-research is a skill published in the GitHub repository harshanandak/forge (4 stars, last pushed 4d ago), licensed MIT. It adds 226 tokens to every session and 1,074 once invoked, about $0.0011 per session on Opus 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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