Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/keychain-io/trustable-ai/sprint-executiongit 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-execution)<a href="https://agentmods.dev/commands/keychain-io/trustable-ai/sprint-execution"><img src="https://agentmods.dev/badge/commands/keychain-io/trustable-ai/sprint-execution.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 | $0.00000 | $0.08653 |
| Opus 5 | $0.00000 | $0.04326 |
| Sonnet 5 | $0.00000 | $0.01731 |
| Haiku 4.5 | $0.00000 | $0.00865 |
Grade A, and why
sprint-execution scanned grade A with 1 finding 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 4d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
coverage_result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 1,168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Execution - Implementation & Monitoring
Project: trusted-ai-development-workbench Workflow: Sprint Execution - Implementation & Monitoring Purpose: Implement sprint-assigned tasks with automated testing, verification, and auto-commit. Secondary: monitor sprint progress and generate daily reports
Output Formatting Requirements
IMPORTANT: Use actual Unicode emojis in reports, NOT GitHub-style shortcodes.
Workflow Overview
┌─────────────────────────────────────────────────────────────────────────────┐
│ SPRINT EXECUTION - Implementation & Monitoring │
│ │
│ IMPLEMENTATION CYCLE (for each task): │
│ 1. Select task → Mark as "In Progress" │
│ 2. /engineer → Implement code + unit tests │
│ 3. Run unit tests │
│ 4. /tester → Evaluate tests, run integration tests │
│ 5. If tests pass with high confidence → Auto-commit │
│ 6. Update work item status to "Done" │
│ │
│ MONITORING CYCLE (daily): │
│ 1. Collect sprint status data │
│ 2. /scrum-master → Daily standup report │
│ 3. /senior-engineer → Blocker analysis (if blocked items) │
│ 4. Quality health check │
│ 5. Verification checklist (external source of truth audit) │
│ 6. /security-specialist → Weekly security review │
│ 7. Generate status report │
│ │
│ Each agent command spawns a FRESH CONTEXT WINDOW via Task tool │
└─────────────────────────────────────────────────────────────────────────────┘
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.
- 4d ago First seen · 1,168 lines · 0 tokens per session scan A e6b040ec334e
sprint-execution is a command published in the GitHub repository keychain-io/trustable-ai (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 8,653 tokens. A static security scan graded it A with 1 finding (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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