agentleFS
catalsqlb-cmdcatalsqlb-cmd/Prism-H/skills/feishu-notify/SKILL.md

feishu-notify

Skill16 starsChanged 6 months agoMITView on GitHub

Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says \"发飞书\", \"notify feishu\", or other skills need to send status updates.

  • Sends data out

5 other projects use a version of this, 4 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

7 rules. 6 are common, 0 are distinctive, and 1 is very specific to this project.

  • 6

    Common

    Most of the 4 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Zero-impact guarantee: If no feishu.json config exists, this skill does nothing and returns silently.

    line 16
  2. Common:

    Push mode: Check curl exit code. If non-zero, log warning but do NOT block the workflow.

    line 113
  3. Common:

    Interactive mode: If bridge is unreachable, fall back to push mode (if webhook configured) or skip silently.

    line 114
  4. Common:

    This check is always guarded: If the config file doesn't exist, the skill skips the notification block entirely — zero overhead, zero side …

    line 129
  5. Common:

    Config file absent = mode off: No error, no warning, no log.

    line 150
  6. Common:

    Interactive timeout = auto-proceed: Don't hang forever waiting for a reply.

    line 152
  7. Common:

    No secrets in notifications: Never include API keys, tokens, or passwords in Feishu messages.

    line 154

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Feishu/Lark Notification

Send a notification: $ARGUMENTS

Overview

This skill provides Feishu/Lark integration for Prism. It is designed as an internal utility — other skills call it at key events (experiment done, review scored, checkpoint waiting). It can also be invoked manually.

Zero-impact guarantee: If no feishu.json config exists, this skill does nothing and returns silently. All existing workflows are completely unaffected.

Configuration

The skill reads ~/.claude/feishu.json. If this file does not exist, all Feishu functionality is disabled — skills behave exactly as before.

Config Format

{
  "mode": "push",
  "webhook_url": "https://open.feishu.cn/open-apis/bot/v2/hook/YOUR_WEBHOOK_ID",
  "interactive": {
    "bridge_url": "http://localhost:5000",
    "timeout_seconds": 300
  }
}

Modes

Mode"mode" valueWhat it doesRequires
Off"off" or file absentNothing. Pure CLI as-isNothing
Push only"push"Send webhook notifications at key events. Mobile push, no replyFeishu bot webhook URL
Interactive"interactive"Full bidirectional. Approve/reject from Feishu, reply to checkpointsfeishu-claude-code running

Workflow

Step 1: Read Config

cat ~/.claude/feishu.json 2>/dev/null
  • File not found → return silently, do nothing
  • "mode": "off" → return silently, do nothing
  • "mode": "push" → proceed to Step 2 (push)
  • "mode": "interactive" → proceed to Step 3 (interactive)

Step 2: Push Notification (webhook)

Send a rich card to the Feishu webhook:

curl -s -X POST "$WEBHOOK_URL" \
  -H "Content-Type: application/json" \
  -d '{
    "msg_type": "interactive",
    "card": {
      "header": {
        "title": {"tag": "plain_text", "content": "TITLE"},
        "template": "COLOR"
      },
      "elements": [
        {"tag": "markdown", "content": "BODY"}
      ]
    }
  }'

Card templates by event type:

EventTitleColorBody
experiment_doneExperiment CompletegreenResults table, delta vs baseline
review_scoredReview Round N: X/10blue (≥6) / orange (<6)Score, verdict, top 3 weaknesses
checkpointCheckpoint: Waiting for InputyellowQuestion, options, context
errorError: [type]redError message, what failed
pipeline_donePipeline CompletepurpleFinal summary, deliverables
customCustomblueFree-form message from $ARGUMENTS

Return immediately after curl — push mode never waits for a response.

Step 3: Interactive Notification (bidirectional)

Interactive mode uses feishu-claude-code as a bridge:

  1. Send message to the bridge:
    curl -s -X POST "$BRIDGE_URL/send" \
      -H "Content-Type: application/json" \
      -d '{"type": "EVENT_TYPE", "title": "TITLE", "body": "BODY", "options": ["approve", "reject", "custom"]}'
  2. Wait for reply (with timeout):
    curl -s "$BRIDGE_URL/poll?timeout=$TIMEOUT_SECONDS"
    Returns: {"reply": "approve"} or {"reply": "reject"} or {"reply": "user typed message"} or {"timeout": true}
  3. On timeout: Fall back to AUTO_PROCEED behavior (proceed with default option).
  4. Return the user's reply to the calling skill so it can act on it.

Step 4: Verify Delivery

  • Push mode: Check curl exit code. If non-zero, log warning but do NOT block the workflow.
  • Interactive mode: If bridge is unreachable, fall back to push mode (if webhook configured) or skip silently.

Helper Function (for other skills)

Other skills should use this pattern to send notifications:

### Feishu Notification (if configured)

Check if `~/.claude/feishu.json` exists and mode is not "off":
- If **push** mode: send webhook notification with event summary
- If **interactive** mode: send notification and wait for user reply
- If **off** or file absent: skip entirely (no-op)

This check is always guarded. If the config file doesn't exist, the skill skips the notification block entirely — zero overhead, zero side effects.

Event Catalog

Skills send these events at these moments:

SkillEventWhen
/research-reviewreview_scoredAfter each round's review score
/research-reviewpipeline_doneLoop complete (positive or max rounds)
/research-refinereview_scoredAfter each round's review score
/research-refinepipeline_doneAll rounds complete
/research-litcheckpointLiterature survey complete
/research-reviewpipeline_doneCritical review report ready
/research-pipelinecheckpointBetween workflow stages
/research-pipelinepipeline_doneFull pipeline complete

Key Rules

  • NEVER block a workflow because Feishu is unreachable. Always fail open.
  • NEVER require Feishu config — all skills must work without it.
  • Config file absent = mode off. No error, no warning, no log.
  • Push mode is fire-and-forget. Send curl, check exit code, move on.
  • Interactive timeout = auto-proceed. Don't hang forever waiting for a reply.
  • Respect AUTO_PROCEED: In interactive mode, if the user doesn't reply within timeout, use the same auto-proceed logic as the calling skill.
  • No secrets in notifications. Never include API keys, tokens, or passwords in Feishu messages.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.