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 agentmods add skills/harshanandak/forge/parallel-deep-researchnpx skills add harshanandak/forge --skill parallel-deep-researchgit clone --depth 1 https://github.com/harshanandak/forgeWrote 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/harshanandak/forge/parallel-deep-research)<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>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 | $0.00226 | $0.01074 |
| Opus 5 | $0.00113 | $0.00537 |
| Sonnet 5 | $0.00045 | $0.00215 |
| Haiku 4.5 | $0.00023 | $0.00107 |
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. 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, $0.30) for deep analysis.
Safety: The
inputis transmitted to Parallel AI's external service and may be logged or retained. Never include secrets, API keys/tokens, PII, or private/proprietary repo content — send only information safe to share with a third party.CLI alternative (recommended): Install
parallel-clifor official skill:npx skills add parallel-web/parallel-agent-skills --skill parallel-deep-research
Setup
API_KEY=$(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 |
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.
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.
- 4d ago First seen · 113 lines · 226 tokens per session scan A 888404cf09cc
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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