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 skills add caipe-io/ai-platform-engineering --skill sprint-progress-reportgit clone --depth 1 https://github.com/caipe-io/ai-platform-engineeringWrote 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/skills/caipe-io/ai-platform-engineering/sprint-progress-report)<a href="https://agentmods.dev/skills/caipe-io/ai-platform-engineering/sprint-progress-report"><img src="https://agentmods.dev/badge/skills/caipe-io/ai-platform-engineering/sprint-progress-report/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/caipe-io/ai-platform-engineering/sprint-progress-report"><img src="https://agentmods.dev/badge/skills/caipe-io/ai-platform-engineering/sprint-progress-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00770 |
| Opus 5.5 | $0.00018 | $0.00308 |
| Sonnet 5.5 | $0.00009 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
sprint-progress-report 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Progress Report
Query Jira to build a detailed sprint progress report including velocity, burndown, completion rates, and blockers.
Instructions
Phase 1: Sprint Data Collection (Jira Agent)
- Identify the current sprint:
- Get the active sprint from the team's Jira board
- Collect sprint name, start date, end date, and goal
- Fetch all sprint issues:
- Stories, tasks, bugs, and subtasks in the sprint
- For each: key, summary, status, assignee, story points, priority, labels
- Fetch sprint history (for velocity):
- Last 3-5 completed sprints
- Committed vs. completed story points per sprint
Phase 2: Metrics Calculation
- Burndown Metrics:
- Total committed story points
- Completed story points
- Remaining story points
- Percentage complete
- Days remaining in sprint
- Projected completion (on track / at risk / behind)
- Velocity:
- Average velocity over last 3-5 sprints
- Current sprint pace vs. average
- Velocity trend (increasing, stable, decreasing)
- Issue Distribution:
- By status (To Do, In Progress, In Review, Done)
- By type (Story, Bug, Task)
- By assignee (workload balance)
- By priority (Critical, High, Medium, Low)
Phase 3: Blocker & Risk Analysis
- Identify blockers:
- Issues with `blocked` status or `blocker` label
- Issues with no activity for >2 days while In Progress
- Issues with unresolved dependencies
- Identify risks:
- High-priority items still in To Do with <3 days remaining
- Unassigned items
- Items added mid-sprint (scope creep)
- Items removed from sprint (scope reduction)
Output Format
```markdown
Sprint Progress Report
Sprint: Sprint 24 - "Platform Reliability" Period: Feb 3 - Feb 14, 2026 | Days Remaining: 5 Sprint Goal: Improve platform monitoring and reduce incident response time
Summary
| Metric | Value |
|---|---|
| Committed | 34 story points (15 issues) |
| Completed | 21 story points (9 issues) |
| Remaining | 13 story points (6 issues) |
| Completion | 62% |
| Projection | On Track (avg velocity: 32 pts) |
| ``` |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 85 lines · 46 tokens per session scan A 88d5403b7e19
sprint-progress-report is a skill published in the GitHub repository caipe-io/ai-platform-engineering (429 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 770 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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