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Paper Excellence Review · brycewang-stanford | DecimalAI

researchby brycewang-stanford

Paper Excellence Review

brycewang-stanford/paper-excellence

Source brycewang-stanford/Auto-Empirical-Research-Skills ↗License NOASSERTION

Comprehensive multi-dimensional review of the sewage-house-prices project. Runs econometrics audit, code review, manuscript proofread, and bibliography validation in parallel. Computes a weighted aggregate score. This skill should be used when asked for a "full review", "quality check", "paper excellence", or before submission milestones.

SkillScore52Maintained

Automatic

Research pack

Last verified 8/9/2026

What it changes

Passed 9 of 18 test cases with the skill, and 4 of 18 without it.

Without skill24%

With skill52%

Checks it passed that the model alone missed

Assigns a weight of 15% to Code.
Assigns a weight of 30% to Econometrics.
Classifies an aggregate score below 80 as blocked.

and 5 more in the full report

7 fixed6 passed either way12 still failing0 broke

Pass-rate lift: +28 pp
Tokens: -16%
Agent turns: 0%
Response time: -70%

Model gemini-3.6-flashMeasured 8/9/2026v113 of 25 cases passed with skill · 18 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-paper-excellence/SKILL.md https://app.decimal.ai/s/brycewang-stanford-paper-excellence/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add brycewang-stanford-paper-excellence, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/brycewang-stanford-paper-excellence/ and pins it in .decimal/skills.lock

decimalai skills add brycewang-stanford-paper-excellence

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-paper-excellence/SKILL.md https://app.decimal.ai/s/brycewang-stanford-paper-excellence/SKILL.md

Raw file: /s/brycewang-stanford-paper-excellence/SKILL.md ↗ · machine-readable summary at /s/brycewang-stanford-paper-excellence.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 6

Prompt

Where should the bibliography validation agent output its standalone detailed Markdown log report?

What was checked, without and with the skill
Checked	Without skill	With skill
Saves the bibliography report to output/log/bib_validation.md.	Missed	Passed

case-14 · gemini-3.6-flash · 8/9/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md93 linessingle file

Paper Excellence Review

Run a comprehensive quality assessment of the sewage-house-prices project across all dimensions.

Input: $ARGUMENTS — all for full review, or a specific component.

Workflow

Step 1: Identify Targets

docs/overleaf/*.tex — Manuscript sections
scripts/R/09_analysis/ — Analysis scripts
output/tables/ — Generated tables
output/figures/ — Generated figures
docs/overleaf/refs.bib — Bibliography

Step 2: Launch Review Agents (Parallel)

Launch up to 4 agents simultaneously:

Agent 1: Econometrics Audit Review all identification strategies (hedonic, repeat sales, long diff, DiD, upstream/downstream, dry spills). Cross-reference manuscript claims against analysis scripts. Weight: 30%

Agent 2: Code Review Review all scripts in scripts/R/09_analysis/ for code quality, reproducibility, and project convention compliance. Weight: 15%

Agent 3: Manuscript Proofread Review all .tex files for structure, claims-evidence alignment, identification fidelity, writing quality, grammar, and LaTeX compilation. Weight: 35%

Agent 4: Bibliography Validation Cross-reference all citations against refs.bib. Check for missing entries, unused references, and quality issues. Weight: 5%

Step 3: Compute Weighted Aggregate Score

Track record

Benchmark

9 / 18

test cases passed, vs 4 / 18 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

brycewang-stanford / Auto-Empirical-Research-Skills

skills/41-sticerd-eee-sewage-econometrics-check/skills/paper-excellence/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/2/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

brycewang-stanford/reviewAll quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper.Close match+48 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Paper Excellence Review

Workflow

Step 1: Identify Targets

Step 2: Launch Review Agents (Parallel)

Step 3: Compute Weighted Aggregate Score

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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