القائمة
Teaches the PDG (Particle Data Group) tool chain for looking up particle properties, measurements, decays, and references from the local PDG SQLite database.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Correctness and legibility checklist for data/results figures in any field: charts, parameter scans, spectra, distributions, fit comparisons, constraint contours, heatmaps, and low-dimensional projection scatters. Use when an agent plots computed or measured data, revises a results figure for a manuscript, or audits whether a data figure is publication-ready. Covers data fidelity (excluded rows never enter plotted summaries, connected-series evaluator fingerprints are homogeneous, a rendered continuous field is continuity-scanned before delivery, claim-titles true against every axis category, one canonical value per claim), label economy floor and ceiling, colour threading with a CVD-safe palette, role-mapped typography, chart choice by data shape, a render-then-verify QA loop (bbox overlap check plus per-panel perceptual crops), a figure-reproduction provenance bundle, and a fail-closed display-acceptance gate that refuses durable or outward-facing use until every plotted quantity is bound to a verification-
Use when writing Julia numerical or scientific code, to apply always-on performance guardrails, gate an accelerated implementation as an identity against its verbatim reference over the full domain of intended use, and escalate to reproducible benchmark gating for speedup or regression claims. Works standalone by default and can optionally emit ecosystem artifacts.
Convergence and reliability gate for NUMERICAL results in any field, including fits, optimizations, integrals, eigenvalues, roots, poles, zeros, ODE/PDE solutions, Monte-Carlo estimates, and downstream feature extraction. Use before trusting, comparing, publishing, or folding a computed number into durable research artifacts. Requires resolution convergence, independent-method checks, regression anchors, post-correction downstream recomputation, method-precondition checks, configuration-threading audits, gate-discrimination (negative-control) audits of purpose-built validation chains, accelerated/heuristic fast-path scoping (no false guarantee, unconditional escape hatch, production-validated precondition), and honest uncertainty/reporting. Emits an auditable reliability matrix. Sibling to derivation-verify for symbolic claims and julia-perf for speed claims.
AI failure-mode checklist (M1-M8) for research agents. Generic across domains. Walk M1-M7 at the moments work becomes durable — you just finished a derivation or computation and are about to write conclusions, fold a number or claim into the plan or contract, check off a task-board item, make a milestone closeout commit, hand off, assemble submission material, or claim a result is final — and, in projects using the engine's approval flow, before requesting an A1-A5 approval gate. Walk M8 before starting each heavy or production computation or hand-building a reusable computational method.
Use when a research milestone (theory or computation) needs executed, reproducible work whose results are independently reviewed before being trusted. Milestone-based research-team workflow for theory+computation projects with reproducible artifacts, independent parallel workstreams (default: host-native subagents; configurable), and a strict convergence gate.
Use when a result, manuscript, derivation, or diff needs independent review. Runs clean-room multi-agent review loops across Claude/Gemini/Codex/OpenCode/Kimi with strict review-contract checks, fallback policy, and convergence gates.
| name | pdg-lookup |
| description | Teaches the PDG (Particle Data Group) tool chain for looking up particle properties, measurements, decays, and references from the local PDG SQLite database. |
This skill teaches the correct tool-calling sequence for PDG lookups via the pdg_* MCP tools.
All PDG tools are local-only (no network) and require PDG_DB_PATH to be set.
pdg_info # Check DB status, see available editions
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pdg_find_particle # Search by name / MCID / PDG identifier
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+-- pdg_get_property # Quick: mass, width, lifetime (with uncertainties)
+-- pdg_get_measurements # Detailed: all measurements for a PDG identifier
+-- pdg_get_decays # All decay modes for a particle
+-- pdg_get # Full PDG identifier object (JSON artifact)
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pdg_find_reference # Find PDG references by DOI / INSPIRE recid / title
pdg_get_reference # Get a specific PDG reference record
pdg_info {}
Returns DB path, edition year, and data directories. If this fails, the user needs to set PDG_DB_PATH.
pdg_find_particle { query: "top quark" }
pdg_find_particle { query: "t", mcid: 6 }
pdg_find_particle { pdgid: "S008" }
The result includes pdgid values (e.g., "S008" for the top quark) needed for subsequent calls.
pdg_get_property { pdgid: "S008M", particle: "t" }
pdg_get_property { particle: "W", property: "mass" }
pdg_get_property { particle: "Z", property: "width" }
allow_derived: true to get width derived from lifetime (and vice versa).pdg_get_measurements { particle: "t", property: "mass" }
CRITICAL: If the result has kind: "series_options" or stop_here: true, you MUST STOP and present the options to the user. Then call again with the specific property_pdgid or data_type from example_next_calls:
pdg_get_measurements { property_pdgid: "S008M" }
pdg_get_measurements { pdgid: "S008M", data_type: "DIRECT MEASUREMENT" }
Never skip the series selection step. The result is a JSONL artifact with full measurement details.
pdg_get_decays { particle: "Z" }
pdg_get_decays { pdgid: "S044" }
Returns all known decay modes with branching ratios as a JSONL artifact.
pdg_find_reference { query: "CKM" }
pdg_find_reference { doi: "10.1103/PhysRevD.110.030001" }
pdg_find_reference { inspire_id: "2830185" }
pdg_get_reference { document_id: 12345 }
pdg_find_particle { query: "top quark" } -> get pdgid S008pdg_get_property { particle: "t", property: "mass" } -> quick valuepdg_get_measurements { particle: "t", property: "mass" } -> may return series_optionspdg_get_measurements { property_pdgid: "S008M" }pdg_find_particle { query: "Z boson" } -> get pdgid S044pdg_get_decays { pdgid: "S044" } -> all decay modes with BRspdg_find_particle { query: "Higgs" } -> pdgid S126pdg_get_measurements { particle: "H", property: "mass" } -> handle series_optionspdg_get_measurements { property_pdgid: "S126M" } -> all mass measurementspdg_find_reference { query: "CKM" } -> find document_idpdg_get_reference { document_id: <id> } -> full reference with INSPIRE linkpdg_get_property is fast and returns a single best-fit value. Use it for quick lookups.pdg_get_measurements returns the full measurement history. Use it when the user needs individual experiment results."W", "w", "W boson" all work.pdg_batch (full exposure only) to run multiple PDG lookups in one call.allow_derived: true to get the other.