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2dph/AGENTS.md
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eSlider e2eff3b9c7 feat(kb): CRM association proof via oo, fix ssh-tunnel self-ref + oo creds
- bin/facts/crm: prove person<->company/company<->project against ooCRM
  x corpus SoT (knowledge-mesh-seed.yaml), write 78 facts (root=facts)
- tools/crmfacts.py + test_crm_facts.py: parser under unit tests (26 pass)
- docs/crm-associations-proof.md: provable graph, mistakes, fixes
- oo merge 759->763 resolves duplicate GoldenRatio.Exchange legal entity
- bin/db/ssh-tunnel: "$0" self-check + accept-new/BatchMode ssh flags
- AGENTS.md: document bin/facts/crm
2026-08-10 23:22:34 +01:00

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AGENTS.md — 2dph (deductionphile)

Evidence-first brain over the ops/eSlider stack. Facts need proof or they are (not confirmed).

Read first: PLANdocs.

Method (detective, no fork)

≥2 independent sources of evidence, or the finding is (not confirmed). Link the lexicon yaml path that backs each claim.

  • facts root = assertions backed by ≥2 independent sources (docker ps × compose × ssh-config × docs).
  • info root = descriptive/narrative leafs, searchable, never asserted as fact.
  • Search is deduction: factsinfoweb-search (second independent source). An answer is confirmed only if it comes off the facts root.

Hard rules

  1. Secrets. ~/.config/brain/, .env, .secrets/ never read into context, printed, or committed. The OnlyOffice password is obtained via the tunnel, never written to this repo.
  2. Read-only data sources. Ladybug var/kb.lbug and Postgres are opened read-only for queries. Index rebuilds write to var/ (gitignored).
  3. PII. brain-test, cs_brain client data is never read or quoted.
  4. No main pushes. Feature branches + PR via gh; CI must be green.
  5. TDD. Failing test before tool code. Unit tests run offline against fixtures; network/db calls are wrapped.
  6. docs reflect behaviour. Any change updates docs/ + PLAN.md status.

Layout

PLAN.md       decisions + execution + open questions
docs/         published docs
skills/       in-project agent skills (vendored, no external links)
bin/          self-describing tools bin/{subject}/{method} (shebang)
bin/kb-watch  corpus watcher (mtimes, no inotify deps)
bin/docker-entrypoint  container entrypoint (brain index|search|serve|watch)
serve/        async Go HTTP server (goroutines, bounded worker pool)
tools/        vendored python libs behind bin/* (yamlout, websearch)
compose.yaml  docker composition (root level, not docker/)
Dockerfile    multi-stage: python deps + static Go serve
var/          kb.lbug, caches (gitignored)
.venv/        ladybug + model2vec + mistune

Tools

bin/facts/audit ["self"|"facts"|"info"|"stale"]   # 2-source + staleness gate
bin/facts/crm [--dry-run]                         # proof person↔company/company↔project (ooCRM × corpus SoT)
bin/kb/search "query" [--hop N] [--repo X]        # deduction search → YAML
bin/md/tables                                     # what the graph holds → YAML
bin/brain/deduce "question"                       # thinking wrapper

Never start a shell command with cd — use the tool working-directory parameter. Search before reading whole files.

Communication

Same tone as the corpus: plain, lists, no hype. Sign-off Andriy Oblivantsev. German C1 where useful. Caveman only for agent chat, never in committed docs.