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 alfredolopez80/multi-agent-ralph-loop --skill parallelgit clone --depth 1 https://github.com/alfredolopez80/multi-agent-ralph-loopWrote 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/alfredolopez80/multi-agent-ralph-loop/parallel)<a href="https://agentmods.dev/skills/alfredolopez80/multi-agent-ralph-loop/parallel"><img src="https://agentmods.dev/badge/skills/alfredolopez80/multi-agent-ralph-loop/parallel/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/alfredolopez80/multi-agent-ralph-loop/parallel"><img src="https://agentmods.dev/badge/skills/alfredolopez80/multi-agent-ralph-loop/parallel.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 | $0.00092 | $0.01838 |
| Opus 5 | $0.00046 | $0.00919 |
| Sonnet 5 | $0.00018 | $0.00368 |
| Haiku 4.5 | $0.00009 | $0.00184 |
Grade A, and why
parallel 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 7d 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.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- **Model-agnostic**: Uses model configured in `~/.claude/settings.json` or CLI/env vars Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 7d ago First seen · 307 lines · 92 tokens per session scan A 811d9d8bab2b
parallel is a skill published in the GitHub repository alfredolopez80/multi-agent-ralph-loop (146 stars, last pushed 7d ago), with no licence file. It adds 92 tokens to every session and 1,838 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
sprint-planning
Plan-first orchestration (ADR-004): comprehensive PLAN.md, sprint files with write-scope ownership, preflight checks, serialized integration, and the release sprint. Use for any non-trivial or multi-part request BEFORE dispatching agents.
departments
Expanded department-based orchestration for large cross-domain CCGodMode work. Freezes ownership, handoffs, and write scopes before implementation.
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration.
persona-project-manager
Coordinate projects — track tasks, schedule meetings, and share docs.
persona-team-lead
Lead a team — run standups, coordinate tasks, and communicate.
recipe-plan-weekly-schedule
Review your Google Calendar week, identify gaps, and add events to fill them.