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Augustus

24601/Augustus · Homepage

Agent skills for building and improving decision systems.

Agent Decisions0.72Runner-up: Evaluation & BenchmarkingFunnel
Automated README summary

Automatically summarized from the README on 27 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Augustus equips coding agents to find useful placements, build decision-driven systems, create evaluations, and hill-climb them against real outcomes. It targets steps that could be code, an LLM call, a classifier, a ranker, or a person.

How it uses Jev

The README names TypeSafe Jev (Choice, Score, Noul) as the default hosted exemplar, but does not describe which decisions Jev makes, on what state, or how its result is used in code. It states that provider docs own API contracts and Augustus supplies composition, implementation, evaluation, and improvement methods.

Primitives:choicescorenoul

Technique worth stealing

Evidence → bounded judgment → explicit policy → checked action → observed outcome, with a falsifying experiment required before accepting a change.

Try it

Install the 0.8.1 release via claude plugin marketplace or npx skills add, then ask your agent to use Augustus.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectunclear0.47
  • Shows a System One patternFound in material0.85
  • Describes handling uncertaintyunclear0.53
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.62
  • Top-10 learning shortlist signalnot found in the excerpt0.32
  • Is a replica of the modelnot found in the excerpt0.33
  • Solves a common problem (0–2)score on a 0–2 scale1.75 / 2
  • About JevFound in material0.81
Signals
Jev is core to the project0.47Shows a System One pattern0.85Describes handling uncertainty0.53Reports measured numbers0.06Is a runnable tool0.62Top-10 learning shortlist signal0.32Is a replica of the model0.3300.51Solves a common problem (0–2)1.75 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.92Traffic light0.46Check-up0.41Scorecard0.30Inspection0.27Grey zone0.2100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 27 Sept 2026.