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 charlieviettq/awesome-agent-skill --skill grad-bloomsgit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/grad-blooms)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/grad-blooms"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-blooms/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/charlieviettq/awesome-agent-skill/grad-blooms"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-blooms.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 | $0.00082 | $0.00920 |
| Opus 5 | $0.00041 | $0.00460 |
| Sonnet 5 | $0.00016 | $0.00184 |
| Haiku 4.5 | $0.00008 | $0.00092 |
Grade A, and why
"grad-blooms" 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 9d 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.
This is a copy
91% identical to grad-blooms — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bloom's Revised Taxonomy
Overview
Bloom's revised taxonomy (Anderson & Krathwohl, 2001) classifies cognitive processes into six hierarchical levels: Remember, Understand, Apply, Analyze, Evaluate, and Create. Combined with the knowledge dimension (factual, conceptual, procedural, metacognitive), it provides a two-dimensional framework for designing and assessing learning.
When to Use
Trigger conditions:
- Writing learning objectives at specific cognitive levels
- Aligning assessment methods with intended learning outcomes
- Auditing curriculum for cognitive complexity balance
When NOT to use:
- When designing scaffolded learning experiences (use constructivism / ZPD)
- When managing cognitive load in instructional design (use cognitive load theory)
- When integrating technology into teaching (use TPACK framework)
Assumptions
IRON LAW: Higher-Order Thinking REQUIRES a Foundation of Lower-Order Knowledge
You cannot analyze what you don't understand. You cannot evaluate
what you haven't analyzed. You cannot create without evaluation criteria.
The hierarchy is:
Remember → Understand → Apply → Analyze → Evaluate → Create
Skipping levels produces superficial "higher-order" work built on
a weak knowledge foundation.
Methodology
Step 1: Identify Knowledge Type
Classify the target knowledge: factual (terminology, details), conceptual (categories, principles), procedural (how-to, techniques), or metacognitive (self-awareness, strategies).
Step 2: Select Cognitive Level
Choose the appropriate cognitive process level. Use action verbs that are observable and measurable for each level.
Step 3: Write Objectives
Combine: "Students will be able to [action verb] [knowledge content] [context/condition]." Ensure the verb matches the intended cognitive level.
Step 4: Align Assessment
Match assessment methods to the cognitive level. Remember/Understand → objective tests. Apply/Analyze → case studies, problem sets. Evaluate/Create → projects, portfolios, essays.
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.
- 9d ago First seen · 87 lines · 82 tokens per session scan A 4070554a90cb
"grad-blooms" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 920 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to grad-blooms, differing in 8 lines, and is treated as a copy.
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