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 reggiechan74/cc-plugins --skill blooms-taxonomygit clone --depth 1 https://github.com/reggiechan74/cc-pluginsWrote 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/reggiechan74/cc-plugins/blooms-taxonomy)<a href="https://agentmods.dev/skills/reggiechan74/cc-plugins/blooms-taxonomy"><img src="https://agentmods.dev/badge/skills/reggiechan74/cc-plugins/blooms-taxonomy/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/reggiechan74/cc-plugins/blooms-taxonomy"><img src="https://agentmods.dev/badge/skills/reggiechan74/cc-plugins/blooms-taxonomy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00116 | $0.05631 |
| Opus 5 | $0.00058 | $0.02815 |
| Sonnet 5 | $0.00023 | $0.01126 |
| Haiku 4.5 | $0.00012 | $0.00563 |
Grade A, and why
blooms-taxonomy 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.
How it starts
The opening of the file, as written. The whole thing — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bloom's Taxonomy
Overview
Bloom's Taxonomy is a framework for classifying learning objectives by cognitive complexity. The revised taxonomy (2001) defines six levels from Remember (simplest) to Create (most complex). Use this taxonomy to craft measurable learning objectives with appropriate action verbs, scaffold learning across workshop timelines, and align assessments with cognitive demands.
For 1-2 day intensive workshops, Bloom's taxonomy ensures:
- Objectives are measurable and observable (using action verbs)
- Cognitive complexity progresses logically across modules
- Assessments match the intended cognitive level
- Skills build from foundation to application
The Six Cognitive Levels
Level 1: Remember
Definition: Retrieve relevant knowledge from long-term memory
When to use: Foundation concepts, terminology, prerequisite knowledge
Action verbs:
- Define, identify, list, name, state, label
- Recognize, recall, match, select, describe
- Memorize, repeat, locate, find
Example objectives:
- "Define PropTech and identify its three primary categories"
- "List five common PropTech use cases in commercial real estate"
- "Recognize the key components of a PropTech implementation roadmap"
Assessment methods:
- Multiple choice, matching exercises
- Labeling diagrams
- Short-answer identification
- Flashcards and glossaries
Workshop application: Minimize Remember-level objectives in intensive workshops. Adults typically learn terminology through context during higher-level activities. If foundation knowledge is essential, include it as pre-work or quick refreshers (5-10 minutes).
Level 2: Understand
Definition: Construct meaning from instructional messages
When to use: Comprehension of concepts, principles, frameworks
Action verbs:
- Explain, describe, summarize, paraphrase, interpret
- Compare, contrast, classify, categorize, discuss
- Illustrate, demonstrate, translate, convert
Example objectives:
- "Explain how PropTech disrupts traditional real estate value chains"
- "Compare the benefits and limitations of three PropTech adoption strategies"
- "Summarize the key findings from a PropTech market analysis report"
What ships with it
3 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.
- 8d ago First seen · 622 lines · 116 tokens per session scan A f26368ef389a
blooms-taxonomy is a skill published in the GitHub repository reggiechan74/cc-plugins (7 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 5,631 once invoked, about $0.0006 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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