SKILLEMALL.ai

BC parallel-orchestrate

Master orchestration skill that takes a gstack implementation plan and ships it via parallel Claude Code subagents in isolated git worktrees. Sits between /autoplan (or /plan-eng-review) and /review + /ship. Shreds plans into parallelizable subtasks, dispatches them wave-by-wave with worktree isolation, verifies each wave, and hands off to /review and /ship. Use when asked to "orchestrate this plan", "ship this plan", "parallel-orchestrate", "/parallel-orchestrate", "execute this plan in parallel", "parallelize this plan", "run plan in waves", "shred and ship", or "dispatch subagents for this plan". Proactively suggest when the user has a finished plan file (e.g. plans/*.md) and wants to execute it without manually dispatching subagents. Voice triggers (speech-to-text aliases): "gee stack orchestrate", "g stack orchestrate", "orchestrate the plan", "ship the plan in parallel", "execute the plan".

ClawHub Agent Skills author: Kai Cianflone v1.6.0 MIT-0 4 files body ≈ 10 079 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, execution cost

AnalyzerSoftware developmentInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
71
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Edit Glob Grep Agent TodoWrite AskUserQuestion Skill

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 10079 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 63/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 26 mutating operations with no state check
  • 40Execution cost. Instruction body is 10079 tokens: crowds the task out of the window
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 56 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Failures and branches. 23 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 909: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +2Single-language instructions
  • +5Description quotes 14 example trigger phrases
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (29 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a disclosed repository orchestration workflow that can create local commits and local run records, with approval gates before dispatch and shipping.
LLM: benign (high) · VirusTotal: · 29 May 2026