hermes-webtop: Skill for Claude Code

.agents/skills/parallel-delegation/SKILL.md

parallel-delegation is a skill for Claude Code, Codex from gitricko/hermes-webtop. It costs 25 tokens per session (1,900 once invoked), scanned A, original, MIT.

A guide for handing independent coding tasks to multiple helper agents at the same time. It focuses on splitting work, avoiding unnecessary waiting, and combining the results.

In plain words
What is it for?
Use it to divide audits, research, or mechanical changes into parallel assignments and consume the returned results without repeating the work.
Why use it?
It prevents the main agent from doing tasks sequentially when they can be completed independently, which can slow down the overall job.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is gitricko/hermes-webtop's own configuration. It tells Claude Code and Codex how to work on hermes-webtop itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hermes-webtop configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/audit.py {pkg} --full.

Reuse

Borrowing it

Nothing to install: this file belongs to gitricko/hermes-webtop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gitricko/hermes-webtop/main/.agents/skills/parallel-delegation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/gitricko/hermes-webtop

Made for: Claude Code, Codex.

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Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,900 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00025 $0.01900
Opus 5.5 $0.00010 $0.00760
Sonnet 5.5 $0.00005 $0.00380
Haiku 4.5 $0.00003 $0.00190

Measured 1mo ago against content hash 708cd56af2a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

parallel-delegation 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 1mo 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.

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.

.agents/skills/parallel-delegation/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Delegation

Always use as much subagent parallelism as possible: the main agent's job is orchestration, not execution. Every piece of work that a subagent can carry should be handed off, batched into the same turn, so the main agent never sits idle and the conversation keeps moving.

Core Principles

  1. Question every task first: can a subagent do this? If yes and it is independent of what you're doing, delegate it.
  2. Maximize parallelism: N independent tasks → N delegate_task calls in the same assistant turn. Never spawn one at a time and never serialize independent work — sequential delegation multiplies wall-clock time for no benefit. Prefer many small, focused subagents over one big one.
  3. Stay unblocked: between spawning and results, keep doing work that doesn't depend on the subagents. Do not hold your turn waiting for a result you don't need yet.
  4. Consume, don't redo: when results arrive, use them — don't re-execute the delegated work yourself.

When to Delegate

Delegate anything mechanical, long-running, parallelizable, or context-heavy:

  • Batch independent audits — e.g., dependency/security/lint audits split per package or module, one subagent per scope (see Examples).
  • Script runs — independent test scripts, formatting checks, or reproducible CLI commands that can run concurrently.
  • Repo scans — search_files / codebase inspection over disjoint directories or areas, per-area.
  • Research & extraction — web searches, page fetches, summarization, transcript-to-summary jobs.
  • Anything that doesn't need your in-flight judgment — offload it so a long-running subagent finishes by the time you need its output.

Rule of thumb: if you can enumerate the units up front, fan out one subagent per unit in a single turn.

When NOT to Delegate

  • Trivial one-liners and single tool calls — a file read, a simple grep, a one-command lookup. Delegation costs tokens (~20K per spawn) and a round-trip; beating it with a single tool call is faster and cheaper.
  • When you already have full context — if the answer is already in your context or you're mid-way through exactly this work, finish it yourself. Re-delegating means re-transmitting everything for nothing.
  • When the task is the main agent's own judgment call — decisions, tradeoffs, or steps the conversation's next move depends on immediately.
  • When spawn cost exceeds the work — one quick web_search stays in-thread; ten independent searches go to subagents.

Read the full file on GitHub · 197 lines

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. 1mo ago First seen · 197 lines · 25 tokens per session scan A 708cd56af2a2

Subscribe to this mod's changes

parallel-delegation is a skill published in the GitHub repository gitricko/hermes-webtop (28 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 1,900 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-05.

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