Daybook: a self-hosted, multi-user Django + DRF app where agents, scripts, or people publish artifacts and each logged-in user browses their own time-ordered, label-filterable feed. This squashes prior local development history (kept privately on a separate branch) into a single clean starting point for the public repository. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2.9 KiB
LLM Posting Helper
Agents should publish to Daybook with skills/daybook-posting/scripts/daybook_post.py instead of hand-building HTTP, JSON, curl, or PowerShell multipart requests.
The project also keeps scripts/daybook_post.py as a compatibility wrapper.
The helper is intentionally zero-dependency and uses only Python's standard library. It works on Windows and Linux.
Configuration
DAYBOOK_URL=http://127.0.0.1:8001
DAYBOOK_TOKEN=your-personal-api-token
DAYBOOK_SOURCE=agent
DAYBOOK_TOKEN is a personal per-user token, from Settings → Account in the app — not a token shared across users. Override these per environment.
Commands
Check the instance:
python skills/daybook-posting/scripts/daybook_post.py --check
Post Markdown from a file:
python skills/daybook-posting/scripts/daybook_post.py --kind markdown --title "Build Report" --content-file report.md --tags build,report
Post Markdown from stdin:
cat report.md | python skills/daybook-posting/scripts/daybook_post.py --kind markdown --title "Build Report"
Post a deck:
python skills/daybook-posting/scripts/daybook_post.py --kind deck --title "Deployment Plan" --content-file deck.html
deck.html must contain top-level <section>...</section> blocks.
Post an image/PDF/binary file:
python skills/daybook-posting/scripts/daybook_post.py --file diagram.svg --title "Architecture Diagram"
python skills/daybook-posting/scripts/daybook_post.py --file report.pdf --title "Generated Report"
Render CSV/JSON/code as Markdown today:
python skills/daybook-posting/scripts/daybook_post.py --file results.csv --as-markdown --title "Results CSV"
Dry run:
python skills/daybook-posting/scripts/daybook_post.py --kind markdown --title "Draft" --content-file report.md --dry-run
The artifact URL is printed as the final stdout line.
Validation Guardrails
The helper validates common LLM mistakes before sending:
| Kind/input | Validation |
|---|---|
deck |
Must contain <section. |
html_fragment |
Must not contain <!doctype, <html, or <body. |
html_full |
Must contain <!doctype and <html. |
markdown |
Must not be blank. |
.svg upload |
Forces image/svg+xml. |
.pdf upload |
Forces application/pdf. |
Metadata
Use repeatable --meta key=value flags:
python skills/daybook-posting/scripts/daybook_post.py \
--kind markdown \
--title "Run Summary" \
--content-file summary.md \
--meta run_id=run-001 \
--meta model=gpt-5.5
Or pass a JSON object:
python skills/daybook-posting/scripts/daybook_post.py --kind markdown --title "Run Summary" --content-file summary.md --meta-json '{"run_id":"run-001"}'
Skill Wrapper
A thin LLM-facing wrapper lives at:
skills/daybook-posting/SKILL.md
Its key instruction is: do not hand-build requests; use scripts/daybook_post.py.