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.
curl -O https://raw.githubusercontent.com/keychain-io/trustable-ai/main/.claude/commands/sprint-planning.mdgit clone --depth 1 https://github.com/keychain-io/trustable-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/keychain-io/trustable-ai/sprint-planning)<a href="https://agentmods.dev/commands/keychain-io/trustable-ai/sprint-planning"><img src="https://agentmods.dev/badge/commands/keychain-io/trustable-ai/sprint-planning.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.10170 |
| Opus 5 | $0.00000 | $0.05085 |
| Sonnet 5 | $0.00000 | $0.02034 |
| Haiku 4.5 | $0.00000 | $0.01017 |
Grade A, and why
sprint-planning scanned grade A with 2 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post(url, headers=headers, json=data) Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run(cmd, capture_output=True, text=True, check=True) How it starts
The opening of the file, as written. The whole thing — 1,305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Planning Workflow
Project: trusted-ai-development-workbench Workflow: Sprint Planning Purpose: Plan a sprint by analyzing backlog, reviewing architecture, and creating work items
Output Formatting Requirements
IMPORTANT: Use actual Unicode emojis in reports, NOT GitHub-style shortcodes.
Workflow Overview
┌─────────────────────────────────────────────────────────────────────────────┐
│ SPRINT PLANNING - Agent Orchestration │
│ │
│ Step 1: /business-analyst → Prioritized backlog │
│ Step 1.5: Extract EPICs from sprint scope │
│ Step 1.6: /qa-tester → Generate test plans for EPICs │
│ Step 1.7: Attach test plans to EPIC work items │
│ Step 2: /architect → Architecture review │
│ Step 3: /security-specialist → Security review │
│ Step 4: /senior-engineer → Estimation & breakdown │
│ Step 5: /scrum-master → Sprint plan assembly │
│ Step 6: Human Approval Gate │
│ Step 7: Work Item Creation │
│ │
│ Each agent command spawns a FRESH CONTEXT WINDOW via Task tool │
└─────────────────────────────────────────────────────────────────────────────┘
Initialize Workflow
# Initialize work tracking adapter
import sys
sys.path.insert(0, ".claude/skills")
from work_tracking import get_adapter
adapter = get_adapter()
print(f"📋 Work Tracking: {adapter.platform}")
# Get sprint information
sprint_number = input("Sprint number: ")
team_capacity = int(input("Team capacity (story points): "))
print(f"📋 Planning Sprint {sprint_number}")
print(f"👥 Team capacity: {team_capacity} points")
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.
- 7d ago First seen · 1,305 lines · 0 tokens per session scan A 33cf26174547
sprint-planning 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 10,170 tokens. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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workpm
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