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 agentmods add skills/fufankeji/vibecodingcourse_v1/prosenpx skills add fufankeji/VibeCodingCourse_v1 --skill prosegit clone --depth 1 https://github.com/fufankeji/VibeCodingCourse_v1What 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 | $0.00036 | $0.03559 |
| Opus 5 | $0.00018 | $0.01780 |
| Sonnet 5 | $0.00007 | $0.00712 |
| Haiku 4.5 | $0.00004 | $0.00356 |
Grade A, and why
prose scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Remote fetch** == OpenClaw `web_fetch` (or `exec` with curl when POST is required) The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
60 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.
- alt-borges.md 7.0 KB
- alts/arabian-nights.md 9.9 KB
- alts/borges.md 11 KB
- alts/folk.md 9.9 KB
- alts/homer.md 9.4 KB
- alts/kafka.md 11 KB
- compiler.md 81 KB
- examples/01-hello-world.prose 118 B
- examples/02-research-and-summarize.prose 355 B
- examples/03-code-review.prose 821 B
- examples/04-write-and-refine.prose 643 B
- examples/05-debug-issue.prose 738 B
- examples/06-explain-codebase.prose 786 B
- examples/07-refactor.prose 830 B
- examples/08-blog-post.prose 840 B
- examples/09-research-with-agents.prose 890 B
- examples/10-code-review-agents.prose 1.0 KB
- examples/11-skills-and-imports.prose 888 B
- examples/12-secure-agent-permissions.prose 1.2 KB
- examples/13-variables-and-context.prose 1.9 KB
- examples/14-composition-blocks.prose 1.1 KB
- examples/15-inline-sequences.prose 647 B
- examples/16-parallel-reviews.prose 536 B
- examples/17-parallel-research.prose 565 B
- examples/18-mixed-parallel-sequential.prose 774 B
- examples/19-advanced-parallel.prose 2.3 KB
- examples/20-fixed-loops.prose 670 B
- examples/21-pipeline-operations.prose 1.2 KB
- examples/22-error-handling.prose 1.3 KB
- examples/23-retry-with-backoff.prose 1.5 KB
- examples/24-choice-blocks.prose 2.9 KB
- examples/25-conditionals.prose 3.0 KB
- examples/26-parameterized-blocks.prose 3.1 KB
- examples/27-string-interpolation.prose 3.2 KB
- examples/28-automated-pr-review.prose 1.4 KB
- examples/28-gas-town.prose 48 KB
- examples/29-captains-chair.prose 7.7 KB
- examples/30-captains-chair-simple.prose 1.3 KB
- examples/31-captains-chair-with-memory.prose 4.9 KB
- examples/33-pr-review-autofix.prose 4.4 KB
- examples/34-content-pipeline.prose 5.2 KB
- examples/35-feature-factory.prose 7.7 KB
- examples/36-bug-hunter.prose 6.2 KB
- examples/37-the-forge.prose 37 KB
- examples/38-skill-scan.prose 16 KB
- examples/39-architect-by-simulation.prose 9.3 KB
- examples/40-rlm-self-refine.prose 752 B
- examples/41-rlm-divide-conquer.prose 917 B
- examples/42-rlm-filter-recurse.prose 1.2 KB
- examples/43-rlm-pairwise.prose 1.2 KB
- examples/44-run-endpoint-ux-test.prose 8.2 KB
- examples/45-plugin-release.prose 4.5 KB
- examples/45-run-endpoint-ux-test-with-remediation.prose 19 KB
- examples/46-run-endpoint-ux-test-fast.prose 4.9 KB
- examples/46-workflow-crystallizer.prose 7.9 KB
- examples/47-language-self-improvement.prose 11 KB
- examples/48-habit-miner.prose 13 KB
- examples/49-prose-run-retrospective.prose 6.5 KB
- examples/README.md 14 KB
- examples/roadmap/iterative-refinement.prose 464 B
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.
- 2d ago First seen · 324 lines · 36 tokens per session scan A 32857ea87a04
prose is a skill published in the GitHub repository fufankeji/VibeCodingCourse_v1 (121 stars, last pushed 5mo ago), with no licence file. It adds 36 tokens to every session and 3,559 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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