trustable-ai: Command for Claude Code

.claude/commands/daily-standup.md

daily-standup is a command for Claude Code from keychain-io/trustable-ai. It costs 0 tokens per session (3,565 once invoked), scanned A, original, MIT.

A workflow for creating a daily standup report, which summarizes recent work, today's plan, and blockers during an active sprint. A sprint is a fixed period in which a team plans and completes work.

In plain words
What is it for?
Use it with an active Azure DevOps sprint and recently updated work items to report completed work, planned work, and blockers.
Why use it?
It gathers work-tracking information into one report for distributed or asynchronous teams.

Command for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

This is keychain-io/trustable-ai's own configuration. It tells Claude Code how to work on trustable-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything trustable-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to keychain-io/trustable-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/keychain-io/trustable-ai/main/.claude/commands/daily-standup.md
Clone the repo
git clone --depth 1 https://github.com/keychain-io/trustable-ai

Made for: Claude Code.

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README.md
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Your own site
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agentmods 80×15 button for daily-standup

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Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,565 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.03565
Opus 5 $0.00000 $0.01783
Sonnet 5 $0.00000 $0.00713
Haiku 4.5 $0.00000 $0.00357

Measured 8d ago against content hash 391c772ac1c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

daily-standup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/commands/daily-standup.md · 436 lines

How it starts

The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Daily Standup Report Workflow

Project: trusted-ai-development-workbench Workflow: Daily Standup Report Purpose: Generate automated daily standup reports for the active sprint

Output Formatting Requirements

IMPORTANT: When generating reports, use actual Unicode emojis, NOT GitHub-style shortcodes:

  • ✅ Correct: ⚠️ Warning or ℹ️ Info
  • ❌ Incorrect: :warning: or :information_source:

Status indicators to use:

  • ✅ Completed / On track
  • ⚠️ Warning / Below target
  • ❌ Critical / Blocked
  • ℹ️ Information
  • 🔴 High priority
  • 🟡 Medium priority
  • 🟢 Low priority / Good

Overview

This lightweight workflow generates daily standup reports showing what was completed yesterday, what's planned for today, and any blockers. Perfect for distributed teams or async standups.

Prerequisites

  • Active sprint in azure-devops
  • Work items with recent activity

Initialize Work Tracking

# Initialize work tracking adapter (auto-selects Azure DevOps or file-based)
import sys
sys.path.insert(0, ".claude/skills")
from work_tracking import get_adapter
from workflows.utilities import (
    analyze_sprint,
    verify_work_item_states,
    get_recent_activity,
    identify_blockers
)
from datetime import datetime, timedelta

adapter = get_adapter()
print(f"📋 Work Tracking: {adapter.platform}")

# Get current sprint name (replace CURRENT_SPRINT with actual sprint)
current_sprint = "Sprint 1"  # Update this

Workflow Steps

Step 1: Gather Yesterday's Activity

  1. Query completed work (last 24 hours):
    # Use workflow utility to get recent activity
    activity_result = get_recent_activity(adapter, current_sprint, hours=24)
    
    recent_items = activity_result['recent_items']
    print(f"Found {activity_result['recent_count']} items updated since yesterday")
    print(f"Total items in sprint: {activity_result['total_items']}")
    
    for item in recent_items:
        print(f"  WI-{item['id']}: {item['title']} [{item['state']}]")
    
    # Check for errors
    if activity_result['errors']:
        print(f"⚠️ Errors during activity query:")
        for error in activity_result['errors']:
            print(f"  - {error}")
    

Read the full file on GitHub · 436 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 436 lines · 0 tokens per session scan A 391c772ac1c3

Subscribe to this mod's changes

daily-standup is a command published in the GitHub repository keychain-io/trustable-ai (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,565 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.