rugged-gemini: Skill for Gemini CLI

.gemini/skills/parallel-dispatch-dag/SKILL.md

parallel-dispatch-dag is a skill for Gemini CLI from irahardianto/rugged-gemini. It costs 49 tokens per session (1,846 once invoked), scanned A, original, MIT.

A tool for building and checking a directed acyclic graph, or DAG: a dependency map whose steps cannot loop back to an earlier step.

In plain words
What is it for?
Use it to order scope cards, group tasks into parallel execution levels, and re-plan after a failed task.
Why use it?
It reveals missing dependencies and circular plans, then shows which independent tasks can run at the same time.

Skill for Gemini CLI

Written for Gemini CLI: installed under .gemini/.

This is irahardianto/rugged-gemini's own configuration. It tells Gemini CLI how to work on rugged-gemini 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 rugged-gemini configures →

Reuse

Borrowing it

Nothing to install: this file belongs to irahardianto/rugged-gemini. 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/irahardianto/rugged-gemini/main/.gemini/skills/parallel-dispatch-dag/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/irahardianto/rugged-gemini

Made for: Gemini CLI.

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-dispatch-dag

README.md
[![agentmods](https://agentmods.dev/badge/skills/irahardianto/rugged-gemini/parallel-dispatch-dag.svg)](https://agentmods.dev/skills/irahardianto/rugged-gemini/parallel-dispatch-dag)
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<a href="https://agentmods.dev/skills/irahardianto/rugged-gemini/parallel-dispatch-dag"><img src="https://agentmods.dev/badge/skills/irahardianto/rugged-gemini/parallel-dispatch-dag.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,846 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 $0.00049 $0.01846
Opus 5 $0.00024 $0.00923
Sonnet 5 $0.00010 $0.00369
Haiku 4.5 $0.00005 $0.00185

Measured 8d ago against content hash 13b36da0dbe9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

parallel-dispatch-dag 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 8d 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.

.gemini/skills/parallel-dispatch-dag/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Dispatch: Dependency Graph

Build a DAG from scope cards. Topological sort into levels. Dispatch all nodes at the same level in parallel.

When to Invoke

  • After scope cards are produced by parallel-dispatch-decomposition
  • Before dispatching any agents within a primitive
  • When re-planning after a sub-task failure

Graph Construction

Nodes

Each scope card becomes a node in the DAG:

  • ID: @<agent-type>[<scope>]
  • Type: write (modifies files) or read (read-only analysis)
  • Phase: The primitive this node belongs to (SCOUT, DESIGN, BUILD, REVIEW, etc.)

Edges

Each "Blocked By" or "Hard Dependencies" entry in a scope card becomes a directed edge:

  • Edge direction: dependency → dependent (producer → consumer)
  • Only hard dependencies create edges. Soft dependencies are advisory.

Construction Algorithm

  1. Create a node for each scope card
  2. For each node, read its "Hard Dependencies" and "Blocked By" fields
  3. Create an edge from each dependency to this node
  4. Validate: every referenced dependency exists as a node (no dangling references)

Topological Sort

Group nodes into levels based on their depth in the dependency graph:

  • Level 0: Nodes with zero incoming edges (no dependencies). These execute first.
  • Level N: Nodes whose dependencies are all in levels 0 through N-1.

All nodes at the same level are independent of each other and can be dispatched in parallel.

Sort Algorithm

1. Initialize in-degree count for each node
2. Enqueue all nodes with in-degree = 0 → Level 0
3. For each node in current level:
   a. Remove its outgoing edges (decrement in-degree of dependents)
   b. If any dependent's in-degree reaches 0 → add to next level
4. Repeat until all nodes assigned
5. If unassigned nodes remain → cycle detected → ABORT

DAG Output Format

Present the execution plan as a leveled dispatch table:

## Execution DAG

### Level 0 (no dependencies — dispatch in parallel)
| Node | Agent | Scope | Type | Deliverables |
|------|-------|-------|------|-------------|
| 1 | @scout | [auth] | read | Auth pattern research |
| 2 | @scout | [tasks] | read | Task engine research |
| 3 | @scout | [infra] | read | Infrastructure research |

### Level 1 (depends on Level 0 — dispatch after Level 0 completes)
| Node | Agent | Scope | Type | Blocked By | Deliverables |
|------|-------|-------|------|-----------|-------------|
| 4 | @architect | [api-contracts] | write | 1, 2 | API contract definitions |
| 5 | @architect | [data-model] | write | 1, 2, 3 | Data model design |

### Level 2 (depends on Level 1 — dispatch after Level 1 completes)
| Node | Agent | Scope | Type | Blocked By | Deliverables |
|------|-------|-------|------|-----------|-------------|
| 6 | @backend-engineer | [auth] | write | 4 | Auth feature implementation |
| 7 | @backend-engineer | [tasks] | write | 4, 5 | Task feature implementation |
| 8 | @frontend-engineer | [auth-ui] | write | 4 | Auth UI components |
| 9 | @frontend-engineer | [task-ui] | write | 4, 5 | Task UI components |

### Level 3 (depends on Level 2 — dispatch after Level 2 completes + merges)
| Node | Agent | Scope | Type | Blocked By | Deliverables |
|------|-------|-------|------|-----------|-------------|
| 10 | @backend-engineer | [integration] | write | 6, 7 | Router wiring, app entry |
| 11 | @frontend-engineer | [integration] | write | 8, 9 | Route registration, app shell |

Read the full file on GitHub · 181 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. 8d ago First seen · 181 lines · 49 tokens per session scan A 13b36da0dbe9

Subscribe to this mod's changes

parallel-dispatch-dag is a skill published in the GitHub repository irahardianto/rugged-gemini (5 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 1,846 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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