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/vectorpeak/vectorpeak-agent-skills/github-clippings-vpnpx skills add VectorPeak/vectorpeak-agent-skills --skill github-clippings-vpgit clone --depth 1 https://github.com/VectorPeak/vectorpeak-agent-skillsWrote 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/vectorpeak/vectorpeak-agent-skills/github-clippings-vp)<a href="https://agentmods.dev/skills/vectorpeak/vectorpeak-agent-skills/github-clippings-vp"><img src="https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/github-clippings-vp.svg" alt="Measured on agentmods" 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 | $0.00100 | $0.01195 |
| Opus 5 | $0.00050 | $0.00598 |
| Sonnet 5 | $0.00020 | $0.00239 |
| Haiku 4.5 | $0.00010 | $0.00120 |
Grade A, and why
github-clippings-vp 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 4d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Clippings VP
Use this skill to turn one or many GitHub URLs into structured raw-corpus cards under:
E:\LLM_wiki\LLM_wiki\01.raw\10.GitHub
The goal is not to create a bookmark list. The goal is to preserve GitHub material as engineering learning material: repository context, cases, code-reading notes, and reusable patterns.
Default Folder Scheme
Create missing folders when needed:
10.GitHub
├── 00.Index.md
├── 01.Repositories
├── 02.Cases
├── 03.CodeReading
├── 04.Patterns
└── 99.Archive
Use this routing for each URL independently:
- Repository URL ->
01.Repositories/owner__repo.md - Pull request, issue, discussion, or commit URL ->
02.Cases/owner__repo__case-topic.md - Source file, directory, symbol, or architecture-reading URL ->
03.CodeReading/owner__repo__module-or-topic.md - Cross-case abstraction requested by the user ->
04.Patterns/pattern-topic.md - Low-value, duplicate, or temporary material ->
99.Archive/
Do not create a separate PullRequests folder. PRs belong in 02.Cases because the durable value is the engineering case, not the GitHub object type.
Batch Input Rules
When the user provides multiple GitHub URLs:
- Treat each URL as a separate source object, not as one combined article.
- Parse and classify every URL before writing, then group by routed folder only for execution efficiency.
- Create one Markdown card per URL unless the user explicitly asks to merge related URLs.
- Preserve the original order in the final report and in
00.Index.mdadditions. - Deduplicate exact repeated URLs. If two URLs point to the same repo object with different anchors, keep the more specific URL as the source and mention the alternate anchor in the card.
- Avoid overwriting existing files. If a filename already exists, update it only when it represents the same source URL; otherwise append a short suffix.
- If some URLs fail to fetch, still process the successful URLs and report failed URLs separately.
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.
- 4d ago First seen · 110 lines · 100 tokens per session scan A c9a6e39268ff
github-clippings-vp is a skill published in the GitHub repository VectorPeak/vectorpeak-agent-skills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 100 tokens to every session and 1,195 once invoked, about $0.0005 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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