Auto Paper Intake
SkillDev toolsInternal Harness instruction source for auto-paper-intake. Route through visible Harness aliases instead of invoking directly.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Auto Paper Intake skill
What this skill tells your AI
The instructions your AI receives, as published by linzhe001/harness-research in .agents/skills/auto-paper-intake/SKILL.md and read by ahel’s review.
Purpose
Create the run configuration and source inventory. Do not write manuscript prose or make claim decisions in intake.
Inputs
Collect or infer:
paper_idtarget_venuetarget_namedraft_pathtex_rootsbib_pathsfigure_pathsfigure_requirement_statusmaterials_dirreference_pathsexperiment_evidence_indexwhendocs/30_evidence/Experiment_Evidence_Index.{json,md}existsartifact_dirobjectivescopeoutput_languagecompile_commandhuman_gate_policyforbidden_directions
If a field cannot be inferred from files or user brief, write unknown and add
a USER_GATE question to intake_report.md.
For blog, review, survey, or tutorial targets, set citation policy
explicitly. Use citation_target_count: unknown or a positive target unless
the operator explicitly asks for an uncited opinion memo.
Discovery
If the artifact directory is empty or missing, initialize the run scaffold first:
.agents/skills/auto-paper/scripts/init_artifacts.py --paper-id <paper_id> --artifact-dir <artifact_dir> --workflow <workflow>
Templates are placeholders. Replace unknown values during intake and keep
future-phase templates as scaffolds until their owning phase runs.
Use rg --files to find .tex, .bib, figures, notes, PDFs, Markdown files,
CSV/JSON result files, and local reports. Index experiment evidence only through
docs/30_evidence/Experiment_Evidence_Index.*; do not include
iteration_log.json in source_index.md as a normal data source. If it is read
for planning, mark it as a weak signal and cross-check with run artifacts or
iteration reports. Prefer deterministic scripts when
available:
.agents/skills/auto-paper/scripts/init_artifacts.py.agents/skills/auto-paper/scripts/reference_inventory.py.agents/skills/auto-paper/scripts/tex_inventory.py.agents/skills/auto-paper/scripts/figure_requirement_scan.py.agents/skills/auto-paper/scripts/latex_guard.py
For PDF and Markdown materials, run or emulate figure_requirement_scan.py to
search for figure/table cues. Record all matches in figure_requirement_scan.md
with source locations. If the scan finds candidate figures or tables, set the
next owner to $auto-paper-figure or layout and do not leave the need only in
the raw PDF text.
If compile_command is present, run a non-mutating baseline compile or static
guard. If absent, record compile_command: unknown.
Outputs
Write under auto_paper_output/<paper_id>/:
config.yamlsource_index.mdtex_inventory.jsonintake_report.mdexperiment_source_map.mdwhen an experiment evidence index is presentfigure_requirement_scan.mdwhen PDFs, Markdown notes, or source materials were scanned for figure/table needs
Do not invent hidden controller state; write only the declared intake
artifacts under auto_paper_output/<paper_id>/.
Gate Ledger
Report a Gate ledger entry with commands run, artifacts written, any
USER_GATE or NOT_RUN reason, and the next owner before handoff.
Signals
- GitHub stars
- 86
- Forks
- 9
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
auto-paper-intake- Source
- github.com/linzhe001/harness-research