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 abiodedeyi/cca-f-exam-prep --skill cca-f-exam-prepgit clone --depth 1 https://github.com/abiodedeyi/cca-f-exam-prepWrote 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/abiodedeyi/cca-f-exam-prep/cca-f-exam-prep)<a href="https://agentmods.dev/skills/abiodedeyi/cca-f-exam-prep/cca-f-exam-prep"><img src="https://agentmods.dev/badge/skills/abiodedeyi/cca-f-exam-prep/cca-f-exam-prep/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/abiodedeyi/cca-f-exam-prep/cca-f-exam-prep"><img src="https://agentmods.dev/badge/skills/abiodedeyi/cca-f-exam-prep/cca-f-exam-prep.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 | $0.00094 | $0.01732 |
| Opus 5.5 | $0.00038 | $0.00693 |
| Sonnet 5.5 | $0.00019 | $0.00346 |
| Haiku 4.5 | $0.00009 | $0.00173 |
Grade A, and why
cca-f-exam-prep 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 1mo 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CCA-F Exam Prep Skill
A complete system for studying the Anthropic CCA-F exam. The system was originally developed and validated by the author: 5 days from start of study to sitting the exam (913/1000 on the official practice, full pass on the real exam). The same method, loop, files, and pattern library are codified here so any learner can re-run it.
What this skill does
When a learner invokes you to prepare for CCA-F, run the session loop below. Read the reference files first — they encode the underlying system.
Read first (these encode the system)
reference/exam-blueprint.md— domains, weights, exam structure, scoringreference/study-method.md— the per-concept 4-step loop (Explain → Feynman → Quiz → Notes)reference/spaced-rep-rules.md— interval rules for the learning logreference/distractor-pattern-library.md— 19 named patterns; the most valuable reusable artifactreference/session-opener.md— how to open every sessionreference/quiz-format.md— scenario MCQ format + distractor tagging
Templates (create learner files from these)
templates/domain-notes-template.md— per-domain notes skeletontemplates/learning-log-template.md— spaced-rep log skeleton
Required user file structure
Each learner gets their own files in their workspace at .tmp/cca-f-study/:
domain-1-notes.md…domain-5-notes.md— per-domain study noteslearning-log.md— spaced-rep tracker
If these don't exist when you start a session, create them from the templates.
Session loop
1. Session opener (~5 min)
Per reference/session-opener.md:
- Read
learning-log.mdand find concepts whereNext Due ≤ today - For each due concept, run a quick MCQ retrieval (review-style)
- If any open watch-list item is tied to a concept due today, drill it specifically
- Update the log based on recall performance
2. Teach next concept (only if no urgent reviews)
Per reference/study-method.md, run the 4-step loop:
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.
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.
- 1mo ago First seen · 124 lines · 94 tokens per session scan A 3f2a975afd4b
cca-f-exam-prep is a skill published in the GitHub repository abiodedeyi/cca-f-exam-prep (23 stars, last pushed 4mo ago), licensed MIT. It adds 94 tokens to every session and 1,732 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 2026-08-30.
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