sprint-planning

sprint-planning is a skill for Claude Code from timwukp/agent-skills-best-practice. It costs 99 tokens per session (905 once invoked), scanned A, original, MIT.

A sprint-planning guide for Scrum teams, where a sprint is a short, fixed period for completing selected work. It includes security debt, meaning known security problems that have not yet been fixed.

In plain words
What is it for?
Use it to estimate sprint capacity, prioritize feature and security work, size commitments, and define when security work is complete.
Why use it?
It helps teams balance new features with security fixes, available capacity, unfinished work, and the risk of delaying remediation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the secure-sdlc-skills plugin — 6 skills shipped together

Good fit Use it to estimate sprint capacity, prioritize feature and security work, size commitments, and define when security work is complete.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/timwukp/agent-skills-best-practice/sprint-planning
Install

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.

Any agent
npx skills add timwukp/agent-skills-best-practice --skill sprint-planning
Clone the repo
git clone --depth 1 https://github.com/timwukp/agent-skills-best-practice

Made for: Claude Code.

Or install secure-sdlc-skills, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for sprint-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/sprint-planning/github.svg)](https://agentmods.dev/skills/timwukp/agent-skills-best-practice/sprint-planning)
Your own site
<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.

agentmods 80×15 button for sprint-planning

Your own site · 80×15
<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>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 905 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00099 $0.00905
Opus 5 $0.00049 $0.00452
Sonnet 5 $0.00020 $0.00181
Haiku 4.5 $0.00010 $0.00090

Measured 11d ago against content hash cc824ddc12d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

skills/skills/sprint-planning/SKILL.md · 70 lines

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

  1. 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.
  2. Reserve ~20% of capacity for security remediation and unplanned work. Teams that skip this reserve absorb security work by silently dropping committed stories.
  3. 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.
  4. 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

  1. Confirm sprint goal — one sentence, feature-oriented, achievable.
  2. Apply the hard rules: pull in Critical/High security debt and deadline-driven items first.
  3. Fill remaining capacity by score, keeping the 20% reserve untouched.
  4. 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.
  5. 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).
  6. Output the sprint plan: goal, committed items with estimates, capacity math, and explicit risks.

Read the full file on GitHub · 70 lines

Files

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.

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. 11d ago First seen · 70 lines · 99 tokens per session scan A cc824ddc12d6

Subscribe to this mod's changes

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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