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 timwukp/agent-skills-best-practice --skill sprint-planninggit clone --depth 1 https://github.com/timwukp/agent-skills-best-practiceWrote 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/timwukp/agent-skills-best-practice/sprint-planning)<a href="https://agentmods.dev/skills/timwukp/agent-skills-best-practice/sprint-planning"><img src="https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/sprint-planning/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/timwukp/agent-skills-best-practice/sprint-planning"><img src="https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/sprint-planning.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 | $0.00099 | $0.00905 |
| Opus 5 | $0.00049 | $0.00452 |
| Sonnet 5 | $0.00020 | $0.00181 |
| Haiku 4.5 | $0.00010 | $0.00090 |
Grade A, and why
sprint-planning 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 11d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Planning (Secure Value)
Help a Scrum team plan a sprint where security work competes fairly with features instead of being deferred forever. The Product Owner acts as a risk manager: features earn value, unresolved security debt accrues risk.
Capacity Planning
- Velocity baseline: use the rolling average of the last 3 completed sprints. If history is missing, plan conservatively and say the first sprints are calibration.
- Reserve ~20% of capacity for security remediation and unplanned work. Teams that skip this reserve absorb security work by silently dropping committed stories.
- Carry-over rule: if more than 30% of last sprint's commitment carried over, reduce this sprint's commitment — don't re-commit the same overload.
- Account for real availability: holidays, on-call rotations, and any team member dedicating time to security champion duties.
Risk-Weighted Prioritization
Score competing items with this framework, then sanity-check the result rather than following it blindly:
Security Debt Score = severity_points × exposure_multiplier
severity_points: Critical 10 · High 5 · Medium 2 · Low 1
exposure_multiplier: days_since_discovery / 30 (minimum 1)
Feature Value Score = business_impact (1-10) × user_reach (1-10) × revenue_or_risk_relevance (1-10)
Hard rules that override scores:
- Critical and High vulnerabilities enter the sprint now — they are not tradeable against features.
- Regulatory deadlines (compliance findings with dates) are non-negotiable; schedule them with buffer before the deadline.
- Security stories generated by threat modeling get capacity in the same sprint as the feature they protect, not "later".
Planning Session Flow
- Confirm sprint goal — one sentence, feature-oriented, achievable.
- Apply the hard rules: pull in Critical/High security debt and deadline-driven items first.
- Fill remaining capacity by score, keeping the 20% reserve untouched.
- For each pulled story, verify it meets the team's definition of ready (clear acceptance criteria, estimable, dependencies known). Stories that fail go back for refinement — flag them rather than planning on hope.
- Split any story estimated over ~1/3 of sprint capacity: split by workflow step, by happy-path-first, or by interface-then-implementation. Never split by architectural layer (a "frontend story" with no backend is not shippable).
- Output the sprint plan: goal, committed items with estimates, capacity math, and explicit risks.
What ships with it
2 files 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.
- 11d ago First seen · 70 lines · 99 tokens per session scan A cc824ddc12d6
sprint-planning is a skill published in the GitHub repository timwukp/agent-skills-best-practice (10 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 905 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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