Skip to content
Agentmart
Submit a tool

syntopical-metabook

General-purpose knowledge-curation layer for a book/knowledge workspace.

Skill by charles-hoskinson

IndexedMIT★ 2
Write a review

Chalk Labs

Need help deploying syntopical-metabook?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/charleshoskinson-syntopical-metabook

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

General-purpose knowledge-curation layer for a book/knowledge workspace. Five capabilities — Acquire (grow the source set by citation-graph traversal and ingest via book-knowledge), Synthesize (topic maps, disputed questions, concept reconciliation over the claim ledger), Lens (project a per-chapter view book-compose reads), Gap (score thesis-node coverage and feed uncovered nodes back to acquisition), and Govern (partition rule/claim support by curated schools of thought; render reports, consensus map, adversarial review, induction gate). Use when the user wants to acquire or expand sources, synthesize a cross-source view, project a per-chapter lens, find coverage gaps, or position induced/asserted rules against schools of thought. The skill never touches the network directly (only via scrapling-fetch) and never mutates the canonical workspace (only via book-knowledge); it writes only under syntopical/.

Use cases: testing, research

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/syntopical-metabook

What's inside

Skill name
syntopical-metabook
Description
General-purpose knowledge-curation layer for a book/knowledge workspace. Five capabilities — Acquire (grow the source set by citation-graph traversal and ingest via book-knowledge), Synthesize (topic maps, disputed questions, concept reconciliation over the claim ledger), Lens (project a per-chapter view book-compose reads), Gap (score thesis-node coverage and feed uncovered nodes back to acquisition), and Govern (partition rule/claim support by curated schools of thought; render reports, consensus map, adversarial review, induction gate). Use when the user wants to acquire or expand sources, synthesize a cross-source view, project a per-chapter lens, find coverage gaps, or position induced/asserted rules against schools of thought. The skill never touches the network directly (only via scrapling-fetch) and never mutates the canonical workspace (only via book-knowledge); it writes only under syntopical/.
License
MIT
Metadata
author: charles-hoskinson · version: 0.3.0 · category: writing · workspace-aware: true
Instructions
37 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • files: referenced but missing: references/acquire-playbook.md, references/synthesize-playbook.md, references/lens-and-gap-playbook.md

Files (100)

  • SKILL.md
  • conftest.py
  • pyproject.toml
  • pytest.ini
  • governance-playbook.md · references/
  • __init__.py · scripts/
  • _staleness.py · scripts/
  • __init__.py · scripts/acquire/
  • __main__.py · scripts/acquire/
  • download_and_ingest.py · scripts/acquire/
  • expand_seeds.py · scripts/acquire/
  • manifest.py · scripts/acquire/
  • pipeline.py · scripts/acquire/
  • rank_candidates.py · scripts/acquire/
  • triage.py · scripts/acquire/
  • veto.py · scripts/acquire/
  • booklogic_adapter.py · scripts/
  • __init__.py · scripts/gap/
  • __main__.py · scripts/gap/
  • coverage_report.py · scripts/gap/
  • feed_acquire.py · scripts/gap/
  • __init__.py · scripts/governance/
  • _config.py · scripts/governance/
  • _constraints.py · scripts/governance/
  • _positions_io.py · scripts/governance/
  • _schools.py · scripts/governance/
  • _stance.py · scripts/governance/
  • build_positions.py · scripts/governance/
  • induction_gate.py · scripts/governance/
  • render_adversarial.py · scripts/governance/
  • render_consensus_map.py · scripts/governance/
  • render_per_rule.py · scripts/governance/
  • __init__.py · scripts/lens/
  • __main__.py · scripts/lens/
  • project_lens.py · scripts/lens/
  • production_llm.py · scripts/
  • provenance.py · scripts/
  • __init__.py · scripts/synthesize/
  • __main__.py · scripts/synthesize/
  • citation_linter.py · scripts/synthesize/
  • concept_reconcile.py · scripts/synthesize/
  • disputed_questions.py · scripts/synthesize/
  • run_synthesize.py · scripts/synthesize/
  • topic_map.py · scripts/synthesize/
  • skill_api.py
  • __init__.py · tests/
  • __init__.py · tests/conformance/
  • __init__.py · tests/conformance/booklogic/
  • .gitkeep · tests/conformance/booklogic/fixtures/
  • test_conformance.py · tests/conformance/booklogic/
  • test_neutral_workspace.py · tests/conformance/
  • booklogic_stub.py · tests/fixtures/
  • .gitkeep · tests/fixtures/workspaces/
  • ledger.jsonl · tests/fixtures/workspaces/neutral-conformance/knowledge/claims/
  • constraints.edn · tests/fixtures/workspaces/neutral-conformance/rules/booklogic/
  • induced-theory.prov.edn · tests/fixtures/workspaces/neutral-conformance/rules/booklogic/
  • my-own-work.edn · tests/fixtures/workspaces/neutral-conformance/syntopical/schools/
  • school-a.edn · tests/fixtures/workspaces/neutral-conformance/syntopical/schools/
  • school-b.edn · tests/fixtures/workspaces/neutral-conformance/syntopical/schools/
  • ledger.jsonl · tests/fixtures/workspaces/three-schools/knowledge/claims/
  • …and 40 more

SKILL.md (first lines)

# syntopical-metabook

The world model above the book. Five capabilities over a workspace, each
reachable from the `forge` CLI and exported from `skill_api.py`.

## Capabilities

| Capability | CLI | Playbook |
|---|---|---|
| Acquire | `forge meta acquire` | `references/acquire-playbook.md` |
| Synthesize | `forge meta synthesize` | `references/synthesize-playbook.md` |
| Lens | `forge meta lens` | `references/lens-and-gap-playbook.md` |
| Gap | `forge meta gap` | `references/lens-and-gap-playbook.md` |
| Govern | `forge govern …` | `references/governance-playbook.md` |

The author loop: **Acquire → Synthesize → Gap → (feed back to Acquire) →
Lens → book-compose**, with **Govern** as the quality gate over induced and
asserted rules.

## Boundaries

- Reads: `raw/`, `wiki/`, `claims/`, `graph/`, `chapters/`, `rules/`, `syntopical/schools/`.
- Writes: `syntopical/` only.
- Network: only via `scrapling-fetch`. Never direct HTTP.
- Symbolic reasoning: only via `booklogic_adapter`. Never EDN logic in Python.

## Public surface

`skill_api.py` (`API_VERSION = (0, 3)`) exports:

- Acquire: `expand_seeds`, `rank`, `triage`, `apply_veto`, `download_and_ingest`, `run_acquire`
- Synthesize: `build_topic_map`, `build_disputed_questions`, `build_concept_reconciliation`, `run_synthesize`
- Lens: `project_lens`
- Gap: `build_coverage_report`, `seed_from_gap_report`
- Govern: `build_positions`, `render_per_rule`, `render_consensus_map`, `render_adversarial`, `governance_filter`, `GateDecision`

From CharlesHoskinson/russellian-book-suite, MIT.

More from CharlesHoskinson/russellian-book-suite

Signals

Stars
2
Forks
0
Open issues
4
Last commit (this folder)
Jun 20, 2026 (4 months ago)
Last release
May 17, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
0.3.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from charles-hoskinson

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get syntopical-metabook running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying syntopical-metabook?

CallGet help
Cite this page

syntopical-metabook skill. Agent Mart. https://agentmart.dev/skills/charleshoskinson-syntopical-metabook (last updated 2026-10-24)