Content
85%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable instruction-only skill with a clear sequenced workflow and explicit validation gates. Its main weakness is verbosity from repeated verbatim submission-channel boilerplate that could be factored into a single reference and reused by pointer.
Suggestions
Factor the "via an authorized operation: propose request to registry-events.py" submission boilerplate into one defined location (e.g. the Skill Contract or a reference) and reference it by name elsewhere, instead of repeating the full phrase ~8 times, to improve conciseness.
Move the repeated cross-skill scope exclusions (what this skill does NOT do) into a single consolidated "Scope guard" block and trim their restatement across Reads/Writes/Promotes/Done-when to reduce redundancy.
Confirm the referenced external paths (../../../references/echo-benchmark.md, ../../../CONNECTORS.md, ../../../SECURITY.md, ../../../SECURITY.md, etc.) resolve from the skill's installed location, or add a note that they are protocol-level references, since no bundle files exist locally to verify them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with no concept-explanation fluff, but it repeats the same submission boilerplate verbatim many times ("via an authorized `operation: propose` request to `registry-events.py`" recurs across the Scope guard, Reads/Writes/Promotes/Done-when, several instruction steps, and Save Results) and restates cross-skill scope inline, so it could be tightened. It is efficient on substance but padded on repetition rather than fully lean. | 2 / 3 |
Actionability | For an instruction-only skill the guidance is concrete and copy-paste-ready: specific paths (memory/social/voice-dossier-builder/, memory/events/channels.ndjson, memory/events/claims.ndjson), named connectors (scripts/connectors/bluesky.py / fediverse.py), and explicit numeric thresholds ("3-5 exemplars per platform", "3-5 content pillars", "pillars sum to 100% with every % labeled Estimated", "under ~10 usable items, stop with NEEDS_INPUT"). | 3 / 3 |
Workflow Clarity | The 9-step numbered process (Collect → Extract → Interview → Build register map → Codify banned/disclosure → Assemble few-shot bank → Set pillars → Version and submit → Hand off) is clearly sequenced with explicit validation checkpoints — a corpus-size gate (NEEDS_INPUT on under ~10 items), a "Done when" checklist, ask-before-promote gating for hot-cache, and a branching Next Best Skill handoff. | 3 / 3 |
Progressive Disclosure | The body is organized into clearly-signaled sections (Quick Start, Skill Contract, Data Sources, Instructions, Save Results, Reference Materials, Next Best Skill, Termination) with a dedicated Reference Materials list of one-level-deep links. No bundle files exist in references/scripts/assets; the referenced paths point outside this skill directory and cannot be verified, but the in-file navigation and structure are clearly one level deep. | 3 / 3 |
Total | 11 / 12 Passed |