0.2.0 returns Planka::Types value objects instead of parsed-JSON
hashes. Replace all hash access with typed accessors, rebuild
Cards#snapshot output as explicit string-keyed hashes (JSON output
stays byte-compatible, so skill/agent contracts are unchanged), and
rewrite test fakes on real Planka::Types records. 34 runs green.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014GjXD4ZDsucFZXNgVVrnZB
Two agent definitions. card-triage batch-labels raw Backlog cards with
one priority (P0-P3) and one autonomy (hitl/semi/afk-ready) label —
label changes only, ambiguity defaults to hitl. board-audit reports the
four drift classes (stale Doing, WIP over cap, Waiting unblocked, aging
Review) and writes at most one comment per drifting card. Both
definitions state the column-ownership constraints: never move cards
past Review, never pull Next, never touch Done.
Supporting read/write primitives: Cards#attach_label + Cards#comment,
exposed as card-label / card-comment subcommands alongside the existing
read-only snapshot JSON. Fake-client unit tests, no live API.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XknQRvihHDpYE47RTmUR4N
/os-backlog:capture resolves repo -> board via the pure resolver, runs
board-ensure transparently when the board is missing, and creates the
card at Backlog only. /os-backlog:list is strictly pull-based — board
state is never injected unasked. Both skills state the column-ownership
rules (create at Backlog only, move Doing -> Review at most, never pull
Next, never move Review -> Done, never self-assign hitl cards) and fail
soft when the gem/Planka is unavailable.
New Backlog::Cards lib class + card-add / cards / snapshot subcommands;
fake-client unit tests, no live API. Manual live verification is still
pending: the planka-api gem is not installed in this environment.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XknQRvihHDpYE47RTmUR4N