naudachu 9679e2c000 feat: close issues through a script
Closing was the last regular tracker operation with no script behind it.
The only way to move state: was a raw `tea api -X PATCH` against
repos/OWNER/REPO/issues/N with a hand-written body, which spells out the
owner, the repo and the request shape — the three things _gitea.py exists
to hide — and which needs a Bash(tea api *) permission wide enough to
cover -X DELETE on the repository.

close.py takes explicit ids, one or many, as a local slug or as any key
form pull.py accepts (42, #42, owner/repo#42, a URL). A slug resolves
through its gitea: field while the file is there and through .remote.json
after push has dropped it, so an issue with no local copy is still
closeable by name. --reopen is the same run backwards.

State only: the payload carries state and nothing else. Closing is not an
edit; editing stays pull -> change -> push --update. No --milestone and
no --label either — which issues are finished is a judgement about
content, and this only carries one out, one named id at a time.

An origin: local issue is refused: it is not in the tracker, so there is
no state there to change, and the error names the id rather than quietly
editing one field of a local file. Every argument is resolved before
anything is sent, so a typo in the third id cannot leave the first two
closed, and one run addresses one repo — a key that names its own is sent
there instead of to whatever repo the CWD happens to be in.

The local file is written only after the tracker confirmed this write: an
object carrying the number that was PATCHed, in the state that was asked
for (close.confirmed). A non-2xx, a transport that would not run, an
answer for another issue, a 200 that still says open — the run stops and
the file is byte for byte what it was. --dry-run prints the same lines,
makes no request at all and needs no pinned login.

tea-runner rule 4 narrows accordingly: closing was forbidden because
nothing but a raw call could do it, not because it is dangerous. It may
now close the ids the caller named, and no others; deleting and retitling
stay forbidden.

tests/test_close.py stubs the transport at _gitea.api and, for the
non-2xx path, one layer lower at _gitea.subprocess so a CLI that exits 1
is proved end to end. 286 tests, no network, no tmp/issues.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-10 17:27:22 +05:00
2026-08-10 17:27:22 +05:00
2026-08-07 18:08:11 +05:00
2026-08-10 17:27:22 +05:00

tea — Claude Code plugin for the Gitea CLI

A Claude Code plugin that gives Claude a reference for the tea CLI and enforces a hard rule: every tea command runs under the login the operator chose, never one Claude picked.

What it ships

Piece What it does
/tea:auth skill Prompts you to pick a Gitea login and pins it to the project
/tea:issue skill Issues as units of work — create, read, grep, validate, walk the dependency graph. Entirely offline
/tea:sync skill Moves issues between the local store and Gitea — pull, push, comment
/tea:use skill Tea CLI reference for everything that is not an issue — loads command docs on demand
tea-runner agent Subagent on Haiku that runs the scripts and reports back a receipt — the mechanical half, off your main context
tea-guard hook PreToolUse hook that blocks or rewrites every tea invocation

The layering

An issue is a unit of work first and a Gitea row second. Those are two layers, and knowledge flows one way:

skills/issue    DOMAIN     what an issue is: format, validation, dependency graph
      ▲                    offline — no tracker, no network, stdlib only
      │ imports
skills/sync     BRIDGE     md <-> Gitea JSON, then over the wire
      ▲
      │ calls
tea-runner      EXECUTION  runs the scripts, reports a receipt — no opinions

Delete skills/sync and the domain layer keeps working — issues that live only on your machine are first-class, not drafts waiting to be uploaded. That is the point of the split: you can plan, write, validate, and track work without a tracker, and publish only what you choose to.

Prerequisites

  • Claude Code — CLI, desktop app, or IDE extension
  • Python 3 — required by the tea-guard hook (python3 must be on $PATH)
  • tea — Gitea's official CLI. Install with brew install tea (macOS) or from gitea.com/gitea/tea/releases
  • At least one login configured: tea logins add (interactive — run it in a terminal, not via Claude)

Installation

This is a Claude Code plugin — install it through the plugin marketplace, not by hand-editing settings.json.

  1. Register this repo as a marketplace:

    /plugin marketplace add https://git.noodles.cam/claude-skills/tea.git
    

    Already have a local clone? Point at the directory instead:

    /plugin marketplace add /path/to/tea
    
  2. Install the plugin:

    /plugin install tea@tea
    

The skills (/tea:auth, /tea:issue, /tea:sync, /tea:use) and the tea-guard hook load immediately. Use /plugin to enable, disable, or update it later.

The marketplace registration is written to extraKnownMarketplaces and the plugin to enabledPlugins in your settings automatically — you don't edit those by hand. There is no top-level "plugins" settings key; if you've added one from older instructions, remove it.

First use

Run /tea:auth once per project. Claude will list your available Gitea logins and ask you to pick one. The choice is written to .claude/settings.local.json and takes effect immediately — no restart needed.

/tea:auth

After that, just ask Claude to do something with issues or Gitea — it loads the right skill automatically. /tea:auth is only needed for the tracker side; /tea:issue works without any login at all.

How the login guard works

Every tea invocation Claude writes must carry the literal placeholder --login "$GITEA_LOGIN". The tea-guard hook intercepts the Bash call before it runs, looks up the pinned login from .claude/settings.local.json, and rewrites the command to use it.

Claude is blocked from:

  • running tea without --login at all
  • naming a login itself (e.g. --login myaccount)
  • using any variable other than $GITEA_LOGIN

This prevents silent fallback to the machine's default login (often a personal account) when working in a project that belongs to a different identity.

tea logins list and tea --version / --help are exempt — they don't touch Gitea data.

The tea-runner agent

The skills carry meaning; the scripts carry work. tea-runner is a subagent on Haiku that does the second half in its own context and hands back a receipt — what ran, what it touched, what failed, verbatim.

Delegate a batch: pull a milestone and rebuild the index, push the three issues you just wrote, bootstrap the label set, post a comment from a file you prepared. Spawning it for a single pull.py 42 costs more than running the command yourself; the saving is in the loop, the retry, and reading somebody else's stderr.

It cannot decide anything. No Edit, no Write, no --force, no closing or retitling, no raw tea, no pushing beyond the set it was handed. A missing type, a failed validation, an unpushed dependency come back as a question, not as a guess. The tea-guard hook applies to it exactly as it does to the main session — the pinned login is enforced on every call it makes.

Project layout

.claude-plugin/
  plugin.json                plugin manifest
  marketplace.json           marketplace catalog (makes `/plugin install` work)
agents/
  tea-runner.md              subagent (Haiku) that executes the scripts
hooks/
  hooks.json                 registers the PreToolUse hook
  tea-guard.sh               the guard (Python 3, no deps)
skills/
  auth/SKILL.md              /tea:auth skill
  issue/                     /tea:issue — the domain layer, offline
    SKILL.md
    references/format.md       canonical issue format (identity, types, templates)
    scripts/                   Python 3, stdlib only, no network:
      issue.py                   domain module: slug identity, parse/render,
                                 validation, taxonomy, dependency graph,
                                 body checkboxes
      issue_new.py               create a local issue from its type template
      issue_check.py             validate against the format
      issue_ac.py                list the body's checkboxes; tick one
      issue_tree.py              draw the dependency graph
      issue_index.py             rebuild tmp/issues/INDEX.md
  sync/                      /tea:sync — the bridge to Gitea
    SKILL.md
    scripts/
      map.py                     md <-> Gitea JSON, pure functions, no I/O
      _gitea.py                  transport: login pin, tea api, pagination, filters
      pull.py                    Gitea -> tmp/issues/
      push.py                    tmp/issues/ -> Gitea, then drops the local file
      remote.py                  discovery listing to stdout
      comment.py                 post or edit a comment
  use/                       /tea:use — tea CLI reference (non-issue entities)
    SKILL.md
    references/tea/            command docs

Local issue store

Issues live in tmp/issues/ (gitignore it) as flat markdown with one metadata field per line — so grep -l 'labels:.*type/bug' tmp/issues/*.md works without a parser.

An origin: local file is the issue — the store, and the only copy. Anything with origin: gitea is a working copy of something the tracker already has, and it is deleted as soon as a push confirms the tracker is up to date:

  • Identity is a slug (wire-sqlc-appclick.md), never a tracker number. Numbers live in a gitea: field.
  • origin: local is a complete state. An issue that never leaves your machine is valid and finished — but it is not permanent: pushing ends it.
  • A successful push deletes the local file (--update too) and prints the number and URL it now lives at. Only after a confirmed response: a failed call leaves the file exactly where it was. Get it back with pull.py <n> — same slug, same depends:, even after a rename in Gitea.
  • Pulling overwrites the body: a fetch, not a merge. It is also how a pushed issue comes back.
  • Nothing tracks drift, and there is no second copy to drift. A file that is still here has not been pushed.
S
Description
Development lifecycle with the usage tea (gitea cli tool) as a issue storage.
Readme 1.3 MiB
Languages
Python 96.3%
Shell 3.7%