Content
60%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.
The content is well-structured with a clear four-step workflow, an explicit scoring rubric, and honest anti-fabrication guardrails, making the inline guidance genuinely actionable. Its two real weaknesses are redundancy (tier-label and disclaimer instructions each repeated three times) and a broken relationship with its own bundle: a complete journal database and executable matcher exist alongside the skill but are never referenced, while simplified versions of that content are inlined in the body.
Suggestions
Wire the bundle into the body: replace 'Use training knowledge to match' with explicit pointers to scripts/main.py (with its CLI usage, e.g. 'python main.py --abstract abstract.txt --count 5') and references/journals.json as the journal database, keeping training knowledge as the fallback path.
De-duplicate the repeated instructions: state the tier-label requirement once in Step 4's output checklist, and merge the three IF-disclaimer treatments (Step 4 mandatory quote, Hard Rules bullet, and the Calibration Note section) into a single canonical statement.
Move the Key Domains journal examples table and the Step 3 scoring weights into references (e.g. journals.json / scoring_weights.json, which already hold richer versions of this data) and link to them from the body instead of duplicating a subset inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly instructive rather than educational, but it repeats itself systematically: the tier-label mandate appears three times ("Label every journal entry with its Tier... Do not omit tier labels from output", "each entry must be explicitly labeled Tier 1 / Tier 2 / Tier 3... never omit tier labels"), and the IF disclaimer appears three times (the Step 4 mandatory quote, the Hard Rules bullet "Always note that IF data is approximate", and the entire "Calibration Note on IF Data" section). This is more than the minor trimming of anchor 4; the duplicated sections could be consolidated, matching anchor 3's "could be tightened". | 3 / 5 |
Actionability | The guidance is concrete and executable for an instruction-only skill: an exact scoring rubric ("Topic overlap (0-3)", "Method acceptance (0-3)", "Impact realism (0-2)", "Practical fit (0-2)" with thresholds "Total ≥ 7/10 = Tier 1 or 2"), a fully specified output table with seven fields, and a verbatim disclaimer string. It falls short of anchor 5 because there is no worked example of applying the scoring to a real abstract, and the bundle's fully executable matcher (scripts/main.py with CLI examples like "python main.py --abstract ... --count 5") is never mentioned, so the most actionable path in the skill is invisible. | 4 / 5 |
Workflow Clarity | The four-step sequence (Characterize → Generate candidates → Score → Deliver) is clearly ordered with defined outputs at each step, and it includes mismatch checkpoints such as "<5 = Tier 3 or flag mismatch" and "If the manuscript evidence level is weak... do not recommend journals above IF 5 without explicitly flagging the mismatch", plus a clarifying-question checkpoint ("If ambiguous, ask one focused clarifying question"). It stops short of anchor 5 because there is no final output self-verification step (tier labels are mandated three times but never checked) and no feedback loop after scoring. | 4 / 5 |
Progressive Disclosure | The bundle contains a journal database (references/journals.json with 32 journal entries), a field taxonomy (references/fields.json), scoring weights (references/scoring_weights.json), and a 682-line executable matcher (scripts/main.py that loads journals.json), yet the body references none of them — no path, no invocation, no "See..." navigation. Instead, content that duplicates the bundle (the "Key Domains and Representative Journals" table, the Step 3 scoring framework) is inlined, and matching relies on "Use training knowledge to match". This matches anchor 2: content that clearly belongs in the separate files is inlined and the references are effectively buried (entirely unmentioned), which is worse than anchor 3's "references present but not clearly signaled". | 2 / 5 |
Total | 13 / 20 Passed |