instructional-retrospective

instructional-retrospective is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 111 tokens per session (1,208 once invoked), scanned A, original, MIT.

A private teaching retrospective that reviews one instructor's course across teaching cycles using evidence, including counterevidence. It records what changed, what the results suggest, and which actions to try next.

In plain words
What is it for?
Use it at the end of a term or unit to examine whether a teaching change had the intended effect and plan evidence-based changes for the next cycle.
Why use it?
It helps an instructor learn from course evidence without judging individual students or other instructors. Keeping contrary evidence visible helps avoid drawing conclusions from only favorable results.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it at the end of a term or unit to examine whether a teaching change had the intended effect and plan evidence-based changes for the next cycle.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/instructional-retrospective
About the project

microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.

microsoft/cat-agent-skills · 101 stars · on GitHub

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 microsoft/cat-agent-skills --skill instructional-retrospective
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

Made for: Claude Code, Codex.

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 instructional-retrospective

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/instructional-retrospective/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/instructional-retrospective)
Your own site
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/instructional-retrospective"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/instructional-retrospective/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 instructional-retrospective

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/instructional-retrospective"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/instructional-retrospective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,208 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 $0.00111 $0.01208
Opus 5.5 $0.00044 $0.00483
Sonnet 5.5 $0.00022 $0.00242
Haiku 4.5 $0.00011 $0.00121

Measured 2d ago against content hash c55de592d577, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

instructional-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 2d 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.

submissions/education-for-cowork/instructional-retrospective/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructional Retrospective

Overview

A private, self-directed review of one instructor's own course across cycles. It tests whether changes made last cycle are associated with the outcomes the instructor cared about, keeps counterevidence visible, and records the actions accepted for the next cycle.

When to Use

  • End of a term or unit, reviewing one's own course design and delivery
  • The user asks whether a change they made had the intended effect
  • Planning next-cycle changes grounded in this cycle's evidence

When NOT to Use

  • Reviewing, comparing, or evaluating any other instructor — refuse and redirect
  • Any personnel, promotion, tenure, or performance-management process
  • Grading or assessing individual students

Shared Skill Contract

This skill follows the institution's shared contract for every run:

  1. Intent check — confirm outcome, audience, timeframe, and format before working.
  2. Source plan — show the sources selected, their date ranges, access gaps, and freshness.
  3. Clarification gate — ask only for missing information that would change the result.
  4. Staged execution — keep discovery, synthesis, creation, review, and finalization separate.
  5. Reviewable output — separate facts, interpretation, recommendations, assumptions, and open questions.
  6. Human approval — require confirmation before sending, publishing, or changing any record.
  7. Reusable state — carry accepted decisions forward without silently reusing stale assumptions.
  8. Quality check — run the checks below before presenting final output.
  9. Telemetry — log workflow signals only; never sensitive content.
  10. Failure behavior — explain missing access, unsupported sources, uncertainty, and partial completion.

Core Instructions

Step 1: Confirm the cycle and privacy

Confirm the course, the cycle being reviewed, and that this is the user's own course. State up front that the retrospective is private to the user and not shared.

Read the full file on GitHub · 105 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. 2d ago First seen · 105 lines · 111 tokens per session scan A c55de592d577

Subscribe to this mod's changes

instructional-retrospective is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 111 tokens to every session and 1,208 once invoked, about $0.0004 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 2026-11-06.

Related

instructional-retrospective compared with skills from other repositories

instructional-retrospective next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
instructional-retrospectivemicrosoft/cat-agent-skillsSkill101yesterdayMITA111Claude Code, Codex
hr-onboardingnexu-io/open-designSkill107ktodayApache-2.0A62Claude Code, Codex
book-mirrorgarrytan/gbrainSkill32ktodayMITA138Claude Code
exam-forecastanthropics/claude-for-legalSkill9.9kyesterdayApache-2.0A73Claude Code
lean-formalizewanshuiyin/Auto-claude-code-research-in-sleepSkill19ktodayMITA81Claude Code
eli5companion-inc/feynmanSkill10kyesterdayMITA63Claude Code, Codex
deck-course-modulenexu-io/html-anythingSkill9.5ktodayApache-2.0A25Claude Code, Codex