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EskyeeEskyee/agentbot-opensource/skills/aeon-paper-pick/SKILL.md

aeon-paper-pick

Skill17 starsChanged 5 months agoMITView on GitHub

Surface the one AI / ML paper to read today from Hugging Face Papers, with the central claim, why it's worth an hour, where it might be wrong, and a time-budgeted read order. Filters out pure benchmark-chasing and incremental scaling reports. Use as a daily morning brief input for AI-savvy operators. Triggers: "one paper to read today", "best AI paper today", "what's the must-read paper", "HF Papers top pick".

2 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If 0 papers survive the filter:

    line 50
  2. Distinctive:

    Read order time-budgeted. Save the reader from skimming the whole PDF.

    line 63

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

aeon-paper-pick

One paper per day. Not a digest — one pick, with a short brief that lets the reader decide whether to invest the next hour.

How the pick works

  1. Fetch last 24h of HF Papers (https://huggingface.co/papers).
  2. Drop pure benchmark-chasing (new SOTA on existing leaderboard, no method change), incremental scaling reports, and position papers without empirical claims.
  3. Score survivors on novelty of method/framing, falsifiability of central claim, reproducibility signal (code + weights + data), and cross-discipline applicability.
  4. Pick the highest scoring. Tie-break: sharper falsifiable claim.

Brief format

[Paper title]
Authors: A, B, C (Lab)
arXiv: 2505.xxxxx

Central claim: [one sentence, plain English]

Why it's worth an hour:
- [method shift, not benchmark bump — they replace X with Y]
- [claim is falsifiable: ablation in §4 isolates X vs not-X cleanly]
- [code + weights released, reproducible at home]

Where it might be wrong:
- [training distribution is narrow — open question whether the effect transfers]
- [comparison baseline is older than expected]

Read order:
1. §3 (method) — 8 min
2. §4 (ablations) — 12 min
3. §6 (limitations) — 5 min
Optional: §5 (extended experiments)

Empty days

If 0 papers survive the filter:

No surviving picks today. 14 papers filtered out: 6 benchmark-chasing, 5 incremental scaling, 3 position papers.
Worth scrolling yourself: huggingface.co/papers

Honesty over manufactured picks.

Rules

  • One pick, not three. Three picks is a digest, and digests become wallpaper.
  • "Where it might be wrong" is mandatory.
  • Read order time-budgeted. Save the reader from skimming the whole PDF.
  • Cite actual sections so the reader can verify the brief.

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