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scelestine-adept

boto-coder/scelestine-adept

Self-learning Hermes Agent plugin: records lessons, re-ranks with Jev, distills to SOUL.md.

Automated README summary

Automatically summarized from the README on 4 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Hermes Agent plugin for Scelestine that records lessons from tool failures and user corrections, recalls relevant ones during turns, and promotes recurring lessons into standing behaviors in SOUL.md. Storage is Mnemosyne-only.

How it uses Jev

Jev makes three decisions: a choice question ranks shortlisted lessons for recall (top 3 injected); a noul question gates whether a tool failure or user correction is a reusable lesson; a Jev call estimates importance in adept_remember. Results are probabilities used as scores or thresholds.

Primitives:choicenoul

Technique worth stealing

Use one Jev choice question with all candidates as named options instead of N binary questions; rank by lift (score × roster size) rather than raw probability.

Try it

git clone, copy to ~/.hermes/plugins/, hermes plugins enable scelestine-adept, hermes gateway restart.

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 projectnot found in the excerpt0.31
  • Shows a System One patternunclear0.54
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalnot found in the excerpt0.27
  • Is a replica of the modelnot found in the excerpt0.24
  • Solves a common problem (0–2)score on a 0–2 scale1.02 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.31Shows a System One pattern0.54Describes handling uncertainty0.05Reports measured numbers0.04Is a runnable tool0.94Top-10 learning shortlist signal0.27Is a replica of the model0.2400.51Solves a common problem (0–2)1.02 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.97Fail open, fail closed0.93Traffic light0.92Check-up0.80Inspection0.63Scorecard0.57Viewfinder0.51Menu0.39Ghostwriter0.2000.51

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 4 Oct 2026.