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mass-ulw

Drives dependency-ordered child work through the native workflow tool, each phase's stages defined up front in one run, with retry/amend/send recovery. Use when the user asks for mass-ulw, a DAG of tasks, or fan-out work where some tasks must wait on others.

67

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

81%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An effective, well-sequenced orchestration skill: copy-paste SDK examples, explicit validation gates, and a disciplined overview-to-reference split. Its weaknesses are redundancy rather than gaps — recovery doctrine lives in both the body and the reference file, and a couple of semantics are stated twice inline.

Suggestions

Slim the "Recovering one node" section to the call signatures and one-line semantics, deferring refusal-code remedies (node_not_retryable, run_still_active, node_not_continuable, amend_running_node) to references/planning.md's Failure playbook, which already carries them.

State the `detach: false` / detaching-wait distinction once (in Run lifecycle) and cross-reference it from the Python cell note instead of explaining it in both places.

Show how to build the edited definition passed to `sdk.amend(runId, editedDefinition)` (e.g. re-`sdk.define` with the same key plus the changed nodes) so the amend path is as copy-paste ready as start/wait.

DimensionReasoningScore

Conciseness

The body is dense and skill-specific with essentially no explanation of concepts Claude already knows, but there is trimmable redundancy: the "Recovering one node" section restates retry/send/amend doctrine and refusal codes that references/planning.md's Failure playbook also carries (which the body itself says it omits), and the `detach: false` semantics are explained twice (Running a dag and Run lifecycle).

4 / 5

Actionability

Concrete, executable JS SDK snippets cover define/node/start/wait, the lifecycle verbs, and every recovery call with argument shapes, plus the Python `tool.workflow` fallback with the critical `detach: False` detail. Minor gaps keep it from 5: `sdk.amend(runId, editedDefinition)` never shows how the edited definition is constructed, and the lifecycle example's `run_stub_1` placeholder is not runnable as-is.

4 / 5

Workflow Clarity

The sections follow true execution order with an explicit mandatory-first gate ("Do not call sdk.define... before reading" planning.md), goal binding before start, and hard validation checkpoints ("the run ends when the criteria pass, never when the last node reports completion", TREAT-AS-FALSE evidence verification, mid-run supervision against each node's prompt scope). Error-recovery feedback loops are explicit: retry with refusal remedies, send steering, amend re-runs of only changed nodes, and resume-by-key rules.

5 / 5

Progressive Disclosure

The SKILL.md is a well-signaled ~90-line overview whose single reference (references/planning.md, real and one level deep) is clearly flagged as mandatory reading, and doctrine is appropriately split. The minor gap is doctrinal overlap: the body's recovery section duplicates the failure-playbook material that planning.md owns, leaving both files partially redundant.

4 / 5

Total

17

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20

Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete third-person capability statement paired with an explicit, specific trigger clause. The main opportunities are covering more of the skill's lifecycle (verification, resume) and sharpening the boundary against sibling orchestration skills.

DimensionReasoningScore

Specificity

"Drives dependency-ordered child work through the native workflow tool", "each phase's stages defined up front in one run", and "retry/amend/send recovery" list several concrete, domain-specific actions. It falls short of 5 because coverage has gaps: verification waves, supervision, and journaled resume (all first-class in the body) go unmentioned.

4 / 5

Completeness

Both questions are explicitly answered with concrete trigger phrases: the "what" ("Drives dependency-ordered child work... each phase's stages defined up front in one run, with retry/amend/send recovery") and a specific "Use when..." clause naming three trigger conditions. Third-person voice is used throughout.

5 / 5

Trigger Term Quality

"Use when the user asks for mass-ulw, a DAG of tasks, or fan-out work where some tasks must wait on others" gives good natural keywords (skill name, DAG, fan-out, dependency waiting) users would actually say. A few natural variations are missing (e.g. "dependencies between tasks", "run in order", "pipeline"), keeping it below comprehensive 5.

4 / 5

Distinctiveness Conflict Risk

The mass-ulw/DAG/fan-out-with-dependencies niche is mostly distinct, anchored by the unique skill name trigger. Minor overlap risk remains with sibling orchestration skills (ulw-loop, ulw-execute, generic workflow tooling) since "fan-out work" alone is broad and no negative boundary is given.

4 / 5

Total

17

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository

code-yeongyu/oh-my-openagent

Path

packages/omo-senpi/skills/mass-ulw/SKILL.md

Reviewed

Table of Contents

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