Content
81%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.
An unusually rigorous operational runbook: exact function calls, explicit state-transition rules, a fully worked example, and honest epistemic constraints (never fabricate timestamps or spend). Its one real weakness is verbosity — several disciplines are stated three or four times across steps and the NOT-do section, and step 5 carries author's-log padding that could be cut roughly in half without losing any constraint.
Suggestions
State the fresh-timestamp rule once (e.g., in step 2) and reference it from steps 3–4 instead of restating it each time; the same applies to the never-fabricate rule, which currently appears in steps 2, 5, 7, and the NOT-do section.
Compress step 5's meta-narrative about the author checking the tool surface to a single-sentence constraint: 'Check spend at turn boundaries — no verified mid-turn usage signal exists; check more often only if your runtime positively confirms one.'
Move the full worked example into a references/ file (e.g., references/worked-example.md) and keep a two-line summary in the body, shortening SKILL.md toward the lean overview pattern.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is operationally real but padded: the freshly-read-timestamp discipline is restated in steps 2, 3, and 4 ('the same discipline as steps 2–3, on every transition, no exceptions'), the never-fabricate rule appears in steps 2, 5, 7, and again under 'What this does NOT do', and step 5's author's-log narrative ('this skill's own author checked... Finding: no such signal was found') is unnecessary meta-commentary. It fits 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than the noticeably-verbose anchor, since no section explains concepts Claude already knows. | 3 / 5 |
Actionability | Every step is concrete down to exact call signatures — 'budget_threshold.threshold_crossed(actual_tokens, budget.token_ceiling, budget.warning_threshold_pct or 0.7)' — and the worked example shows real JSON row states, computed percentages, and the verbatim warning string to send. As an instruction-only skill with fully actionable guidance (per the scoring notes), this matches the top anchor. | 5 / 5 |
Workflow Clarity | Seven numbered steps in dispatch order, each with an explicit transition condition and validation checkpoint (check real spend after each dispatch returns), a genuine feedback loop (inject the warning verbatim into the next turn), and explicit error paths ('blocked' requires a concrete note; unknown spend stays unknown). This is the clear-sequence-with-explicit-validation-and-feedback-loops anchor. | 5 / 5 |
Progressive Disclosure | Clean section structure (When this runs / What to do / Worked example / What this does NOT do / Related) with a well-signaled, one-level-deep Related section pointing to `eval/budget_threshold.py`, the sibling dryrun skill, the blueprint schema, and the agent file. No bundle files exist in this skill, and the ~240-line body inlines the full worked example where a references/ file could carry it — good structure with minor organization gaps rather than the ideal split. | 4 / 5 |
Total | 17 / 20 Passed |