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 cyborg-garden/hermes-agent-mt --skill parallel-cligit clone --depth 1 https://github.com/cyborg-garden/hermes-agent-mtWrote 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/cyborg-garden/hermes-agent-mt/parallel-cli)<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/parallel-cli"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/parallel-cli.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 5.1 | $0.00037 | $0.02569 |
| Opus 5 | $0.00018 | $0.01285 |
| Sonnet 5 | $0.00007 | $0.00514 |
| Haiku 4.5 | $0.00004 | $0.00257 |
Grade C, and why
parallel-cli scanned grade C with 2 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 3d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://parallel.ai/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://parallel.ai/install.sh | bash This is a copy
95% identical to parallel-cli — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel CLI
Use parallel-cli when the user explicitly wants Parallel, or when a terminal-native workflow would benefit from Parallel's vendor-specific stack for web search, extraction, deep research, enrichment, entity discovery, or monitoring.
This is an optional third-party workflow, not a Hermes core capability.
Important expectations:
- Parallel is a paid service with a free tier, not a fully free local tool.
- It overlaps with Hermes native
web_search/web_extract, so do not prefer it by default for ordinary lookups. - Prefer this skill when the user mentions Parallel specifically or needs capabilities like Parallel's enrichment, FindAll, or monitor workflows.
parallel-cli is designed for agents:
- JSON output via
--json - Non-interactive command execution
- Async long-running jobs with
--no-wait,status, andpoll - Context chaining with
--previous-interaction-id - Search, extract, research, enrichment, entity discovery, and monitoring in one CLI
When to use it
Prefer this skill when:
- The user explicitly mentions Parallel or
parallel-cli - The task needs richer workflows than a simple one-shot search/extract pass
- You need async deep research jobs that can be launched and polled later
- You need structured enrichment, FindAll entity discovery, or monitoring
Prefer Hermes native web_search / web_extract for quick one-off lookups when Parallel is not specifically requested.
Installation
Try the least invasive install path available for the environment.
Homebrew
brew install parallel-web/tap/parallel-cli
npm
npm install -g parallel-web-cli
Python package
pip install "parallel-web-tools[cli]"
Standalone installer
curl -fsSL https://parallel.ai/install.sh | bash
If you want an isolated Python install, pipx can also work:
pipx install "parallel-web-tools[cli]"
pipx ensurepath
Authentication
Interactive login:
parallel-cli login
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.
- 3d ago First seen · 392 lines · 37 tokens per session scan C 59245b30f3d9
parallel-cli is a skill published in the GitHub repository cyborg-garden/hermes-agent-mt (13 stars, last pushed 6d ago), licensed MIT. It adds 37 tokens to every session and 2,569 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 95% identical to parallel-cli, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
hermes-memory-providers
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
wikiskill-evolve
Run the WikiSkill self-evolution loop (arXiv 2608.27454) on a Hermes workspace — raw→maintainer→proposer→gate with strict Rval > Rbest gating.
hermes-tweet
Use Xquik in Hermes Agent for public X research, monitoring, thread summaries, creator discovery & approved actions. Not affiliated with X Corp. Use when the user requests X data or a named action. Trigger with "search X", "monitor X", "post tweet", or "X trends".
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.