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template-madlib — measured AI agent skill | DecimalAI

docxology/template-madlib

SkillScore86Maintained

Deterministic token-injection manuscript generator — config-owned lexicon, conditional IMRAD, QA probes, authoring contract, and token provenance.

by docxology

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Doc Ops pack

decimalai skills pull docxology-template-madlib

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/docxology-template-madlib/SKILL.md

Raw file: /s/docxology-template-madlib/SKILL.md ↗ · machine-readable summary at /s/docxology-template-madlib.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 6d ago

Yes — +41% lift-24% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-12	✗→✓	▲ Improved	-44%	0%
case-06	✗→✓	▲ Improved	-39%	0%
case-04	✗→✓	▲ Improved	-36%	0%
case-05	✗→✓	▲ Improved	-33%	0%
case-07	✗→✓	▲ Improved	-15%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

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

docxology / template

projects/templates/template_madlib/.agents/skills/template-madlib/SKILL.md

View on GitHub ↗

License MITImported 8/8/2026Version v1

Skill contents

SKILL.md

template-madlib

Project-scoped skill for the in-repo exemplar at projects/templates/template_madlib/. Load this when working inside the project.

When to Use

Working inside the template_madlib exemplar — running scripts, editing source,

or regenerating outputs.

Forking this exemplar as the starting scaffold for a new research project.
Validating that the exemplar's contracts (thin-orchestrator, layer boundaries,

no-mocks testing) still hold after changes.

Quick Reference

bash
# From the repository root
uv run pytest projects/templates/template_madlib/tests --cov=projects/templates/template_madlib/src --cov-fail-under=90
uv run python scripts/pipeline/stage_02_analysis.py --project templates/template_madlib
uv run python scripts/pipeline/stage_03_render.py --project templates/template_madlib
uv run python scripts/pipeline/stage_04_validate.py --project templates/template_madlib
uv run python scripts/pipeline/stage_05_copy.py --project templates/template_madlib

Pitfalls

Keep scripts thin. Business logic belongs in src/ modules (run.py, composition_*, figure_specs, analysis_*), not in scripts/.
Import surface. Prefer composition.py re-exports in tests; edit split modules for body/table/figure changes.
No mocks. All tests must use real data, real files, and real computation.
Outputs are disposable. Never hand-edit output/ — regenerate from

source and config.

Run from the repo root. Commands assume the template monorepo root

as working directory unless the child AGENTS.md states otherwise.

Cross-refs

Project contract: AGENTS.md
README: README.md
TODO: TODO.md
Exemplar roster: projects/AGENTS.md

Want to see if docxology/template-madlib would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.