retrospective

retrospective is a skill for Claude Code from lwalden/AIAgentMinder. It costs 7 tokens per session (1,642 once invoked), scanned A, original, MIT.

A sprint review that summarizes what a development team planned, finished, changed, and reworked during a sprint, a fixed period of work.

In plain words
What is it for?
Use it to review completed sprint work, compare planned and completed issues, track rework and scope changes, and record decisions for future planning.
Why use it?
It gathers the relevant project records and calculates the results in one place, so the team does not have to reconstruct the sprint manually.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the aiagentminder plugin — 15 skills, 16 agents, 5 hooks shipped together

Good fit Use it to review completed sprint work, compare planned and completed issues, track rework and scope changes, and record decisions for future planning.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add lwalden/AIAgentMinder
Claude Code
/plugin install aiagentminder

Made for: Claude Code.

Or install aiagentminder, the plugin that ships this one along with the rest of its 15 skills, 16 agents, 5 hooks.

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 retrospective

README.md
[![agentmods](https://agentmods.dev/badge/skills/lwalden/aiagentminder/retrospective.svg)](https://agentmods.dev/skills/lwalden/aiagentminder/retrospective)
Your own site
<a href="https://agentmods.dev/skills/lwalden/aiagentminder/retrospective"><img src="https://agentmods.dev/badge/skills/lwalden/aiagentminder/retrospective.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,642 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.
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 $0.00007 $0.01642
Opus 5 $0.00003 $0.00821
Sonnet 5 $0.00001 $0.00328
Haiku 4.5 $0.00001 $0.00164

Measured 8d ago against content hash 940a6eb10180, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

retrospective 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 8d 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/retrospective/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/aiagentminder:retrospective - Sprint Retrospective

Generate a brief retrospective for the completed sprint. Called automatically at sprint completion, or invoke manually with /aiagentminder:retrospective.


Step 1: Gather Sprint Data

Read the following:

  1. .sprint-metrics.json — if present, use as primary metrics source (timestamps, cycle counts, rework). Fall back to git log parsing when the metrics file is absent (backward compatible with sprints that ran before metrics collection was added).
  2. SPRINT.md — sprint goal, issue list, final statuses (including Post-Merge column)
  3. Use TaskList to get final task states and any notes
  4. DECISIONS.md — identify entries added during this sprint (by date or sprint reference)
  5. Recent git log for this sprint's branches:
    git log --oneline --merges --since="sprint start date"
    
  6. Check for any issues that were added or removed after approval (scope changes)

Step 2: Compute Metrics

From the data gathered, calculate:

Metric Value
Planned issues How many issues were in the approved sprint
Completed issues How many reached done
Rework items How many items required rework (post-merge validation failures or test failures after initial "done")
Blocked issues How many are still blocked at sprint end
Post-merge validations How many items had post-merge validation tasks; how many passed vs. failed
Risk-tagged issues How many had [risk] tag
Scope additions Issues added after sprint approval
Scope removals Issues removed after sprint approval
Decisions logged DECISIONS.md entries added this sprint

Step 3: Present the Retrospective

Sprint S{n} Retrospective
Goal: {sprint goal}
Date: {today}

Delivery:
  Planned:    {n} issues
  Completed:  {n} issues  ({%} completion rate)
  Rework:     {n} items   [list IDs and failure description if any]
  Blocked:    {n} issues  [list IDs and blocker reason if any]

Quality:
  Post-merge validations: {n} defined, {n} passed, {n} failed
  {If rework items exist: "Rework was needed for: [list items and root cause]"}

Scope:
  {No scope changes} OR {Added: [issue titles] / Removed: [issue titles]}

Decisions:
  {n} decisions logged this sprint
  {list decision topics, one line each — e.g., "Auth approach: JWT over sessions"}

Patterns:
  [One honest observation about what went well]
  [One honest observation about what was harder than expected — e.g., "S2-003 required rework due to staging env mismatch"]

Tooling findings (about AIAgentMinder itself, not this project):
  {None} OR {one line per finding: "{type}/{severity}: {summary}"} — see Step 5

Read the full file on GitHub · 148 lines

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. 8d ago First seen · 148 lines · 7 tokens per session scan A 940a6eb10180

Subscribe to this mod's changes

retrospective is a skill published in the GitHub repository lwalden/AIAgentMinder (5 stars, last pushed 1mo ago), licensed MIT. It adds 7 tokens to every session and 1,642 once invoked, about $0.0000 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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