菜单
Use this skill when calculating weighted or unweighted averages for ENSDF nuclear data using Java_Average.py. Enforces exact transcription of the Suggested Adopted Result, minimum-uncertainty rule, and lifetime uncertainty limit 99. Suitable for adopting measured values from multiple publications.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use this skill when performing editorial review of ENSDF comment lines. Checks grammatical precision, subject-verb agreement, hyphenation, technical terminology, and ENSDF text-notation correctness. Suitable for editorial checks, grammar reviews, manuscript audits, or ENSDF comment validation in Nuclear Data Sheets manuscripts.
Use this skill when cross-checking all quoted values in cL J$ comment lines against L-record and G-record data fields in ENSDF adopted files. Detects mismatches in gamma energies, multipolarities, level energies, J-π values, and energy conservation violations. Fixes comment text only — never edits data records. Skip ruler and column validation (comment-only workflow).
ENSDF DP (Delayed Proton), B (Beta Minus), E (Electron Capture/Beta Plus), and A (Alpha) record 80-column format specifications and field definitions.
Use this skill when deducing multipolarities for gamma transitions and then Jπ for nuclear levels by combining constraints from feeding and deexciting gamma transitions using electromagnetic selection rules. Applies D/E2 rules to primary capture transitions, D/Q or D/E2 to deexciting gammas (if RUL applies), and takes AND intersection of all constraints. Handles multi-valued initial Jπ via union before intersection.
Use this skill when standardizing multipolarity (M), mixing ratio (MR), angular correlation coefficients (A2, A4, A6), and polarization (POL) in ENSDF G-records. Extracts data from messy raw comment text, populates G-record fields, and adds standardized cG comment lines with proper subscript notation and {I} uncertainties. Validates 80-column compliance after every edit.
Organizes general comment sections in Adopted Dataset ENSDF files in the canonical sequence: Isotope Discovery, Production, Decay Measurements, Radius, Mass, Theoretical Calculations. Use when adding or reorganizing general comments at the beginning of an Adopted dataset file.
| name | averaging |
| description | Use this skill when calculating weighted or unweighted averages for ENSDF nuclear data using Java_Average.py. Enforces exact transcription of the Suggested Adopted Result, minimum-uncertainty rule, and lifetime uncertainty limit 99. Suitable for adopting measured values from multiple publications. |
| argument-hint | ["VALUE1 UNC1 VALUE2 UNC2 ..."] |
ENSDF 80-column data record and field definitions, structural rules, column positions, and uncertainty notation: .github/agents/ENSDF-Agent.agent.md. Spot-check policy: .github/copilot-instructions.md.
Run Java_Average.py any time you need to adopt a value from 2+ measurements across different papers.
Numeric mode — comma after each pair for readability (optional):
python .github/scripts/Java_Average.py 19.7 1.3, 22 4, 21.5 1.5
Comment mode — feed the existing cL T$ comment directly:
python .github/scripts/Java_Average.py --comment "19.7 ps {I13} (1970Br10) and 22 ps {I4} (1975Sm02)"
When user requests code Java_Average.py for calculating averages, follow these rules with absolute precision and zero tolerance for deviation:
ENSDF-Specific Requirement: Adopted uncertainty ≥ any individual input uncertainty.
Rationale: Prevents averaging from artificially reducing systematic uncertainty below best single measurement. Maintains conservative uncertainty estimates in nuclear data evaluation. Java_Average.py automatically enforces this.
Example: Averaging 665.56±0.05 and 665.6±0.1 yields statistical uncertainty 0.0447, but adopted uncertainty becomes 0.05 (matches smallest input).
[critical=X] is display-only. The tool decides Weighted vs. Unweighted using a hardcoded threshold of 3.5, not the displayed chi² critical value.197 fs {I50}, not 2.0E2 {I5}.