Content
67%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, genuinely actionable skill body: a deterministic five-step workflow with tool-enforced validations and a do-not-send gate, verified script flags, and real one-level-deep references. The main costs are token redundancy (the 5–7 touchpoint stat and related canon repeated across five sections) and two sections of inline detail that belong in the reference files.
Suggestions
State the '5–7 touchpoint floor' and manager-first canon once (e.g., in Workflow or References) and cross-reference it elsewhere; it currently appears in Purpose, When to use, Scripts, Anti-patterns, and forcing-question 3, which is pure token overhead.
Add copy-paste example invocations for change_announcement_builder.py and comms_calendar_builder.py (e.g., python3 scripts/comms_calendar_builder.py --input brief.json --output markdown) and make the Quick example's path relative to the skill root instead of the fixed 'business-operations/skills/internal-comms' location.
Move the full forcing-question library (questions + recommended answers + canon citations) into references/ (e.g., references/forcing_questions.md) and keep a one-line pointer plus the 'one at a time, never bundled' rule in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The same canonical stat is restated five times — "Prosci research shows 5–7 touchpoints are the floor" (Purpose), "assess whether 5–7 touchpoints are scheduled" (When to use), "Prosci's documented floor for behavioral change is 5–7" (Scripts), "Prosci floor is 5–7" (Anti-patterns), "minimum 5, target 7" (forcing-question 3) — and the manager-trust and magnitude-honesty points are likewise each repeated across 3–4 sections. That is more than the 'minor instances of over-explanation' of anchor 4, fitting anchor 3 ('could be tightened'), though the content is domain-specific with no generic-concept padding, so it is not the severe verbosity of anchor 2. | 3 / 5 |
Actionability | Concrete executable command ("cd business-operations/skills/internal-comms && python3 scripts/comms_template_filler.py --sample"), specific script flags verified in the actual argparse code (--input, --output, --sample, --profile with the exact profile enum), and concrete recommended answers per forcing question. It misses anchor 5 because only one of the three scripts has an example invocation and the example's cd path assumes a fixed install location rather than being copy-paste ready relative to the skill. | 4 / 5 |
Workflow Clarity | "Five-step deterministic flow. Follow in order." gives a clear numbered sequence with concrete per-step commands, and step 5 is an explicit pre-publish validation gate ("any one of them is a 'do not send' signal") with tool-enforced validations in step 2. It falls short of anchor 5 because the error-recovery feedback loop is implicit — the sweep says what fails but never says what to do next (fix which artifact, re-run which script) — though it is clearly above anchor 3, where checkpoints are merely listed without an explicit gate. | 4 / 5 |
Progressive Disclosure | References are one level deep, well-signaled with per-file descriptions, and all six referenced paths (3 references, 3 scripts, 1 asset template) verified to exist; each script section documents purpose and flags rather than inlining the code. Minor gaps keep it below anchor 5: the ~30-line forcing-question library with full recommended answers and citations, and the anti-pattern list that previews the references file's 8 anti-patterns, are detail that arguably belongs in a reference file with a pointer from the overview. | 4 / 5 |
Total | 15 / 20 Passed |