autocontext-consumer
GitHub用于读取和迁移Autocontext已生成的知识库,包括查看场景的playbook、lessons及元数据,支持在不同环境间导出导入知识包。
Trigger Scenarios
Install
npx skills add greyhaven-ai/autocontext --skill autocontext-consumer -g -y
SKILL.md
Frontmatter
{
"name": "autocontext-consumer",
"author": "Autocontext",
"license": "Apache-2.0",
"version": "1.0.0",
"description": "Use when an agent needs to USE knowledge Autocontext already produced - find which scenarios have knowledge, read the playbook and lessons for one, understand the on-disk file and folder layout, and move knowledge between checkouts. Host-agnostic; requires only the autoctx CLI and the filesystem."
}
Autocontext: Using Existing Knowledge
Overview
Autocontext writes what it learns to a knowledge directory. This skill covers
reading and moving that knowledge. To produce it, use autocontext-creator.
Nothing here assumes a particular agent host, and most of it is plain file reading - the layout is documented below precisely so an agent can go straight to the file it wants.
When to Use
- You want to know whether Autocontext has learned anything about a task.
- You want the current playbook or lessons for a scenario.
- You want to move knowledge from one checkout or machine to another.
Do not use this skill to run scenarios or judge output. That is
autocontext-creator.
Where Knowledge Lives
The root defaults to ./knowledge and moves with AUTOCONTEXT_KNOWLEDGE_ROOT.
Inside it, each scenario owns a directory:
<knowledge_root>/
<scenario>/
playbook.md the current approach, rewritten as the loop learns
lessons.json accumulated lessons, newest last
hints.md hints carried into the next attempt
mutation_log.jsonl one line per change, append-only
package_metadata.json present once the scenario has been exported
reports/<run_id>.md per-run written reports
analytics/ cross-scenario analytics
_hub/ shared research hub state
_evaluator_epochs/ evaluator versioning
Directories starting with _ are shared across scenarios rather than owned by
one. playbook.md is the file to read first: it is the current answer, where
lessons.json is the history of how it got there.
Reading Knowledge
The playbook and lessons are plain files. Read them directly:
cat "${AUTOCONTEXT_KNOWLEDGE_ROOT:-knowledge}/grid_ctf/playbook.md"
An absent file means nothing has been learned for that scenario yet. That is a normal state, not an error.
Finding Runs
autoctx list --json
autoctx status "$RUN_ID" --json
autoctx show "$RUN_ID"
list is the entry point when you do not know what exists.
Moving Knowledge Between Checkouts
Export a scenario's knowledge as a portable package:
autoctx export --scenario grid_ctf --output grid_ctf_package.json --json
Import one somewhere else. The package file is a positional argument, not a flag, and it is required:
autoctx import-package grid_ctf_package.json --json
--conflict decides what happens when the target scenario already has
knowledge: overwrite, merge, or skip. --scenario imports under a
different name than the package was exported from.
Use these rather than copying the directory by hand: the package carries the metadata that makes the knowledge legible on the far side.
Reading a Generation in Detail
When a result is surprising, the generation JSON is the level that explains it:
autoctx replay "$RUN_ID" --generation 1
What Not to Assume
- Knowledge is scenario-scoped. A playbook for one scenario says nothing about another.
lessons.jsonis append-only. The last entries are the newest; do not assume the file is ordered by importance.- An empty playbook is meaningful. It means the loop has not yet found an approach worth keeping, which is different from the scenario not existing.
Version History
- c258b44 Current 2026-08-19 21:39


