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 skoowoo/vaultr-notes --skill vaultr-recapgit clone --depth 1 https://github.com/skoowoo/vaultr-notesWrote 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/skoowoo/vaultr-notes/vaultr-recap)<a href="https://agentmods.dev/skills/skoowoo/vaultr-notes/vaultr-recap"><img src="https://agentmods.dev/badge/skills/skoowoo/vaultr-notes/vaultr-recap/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/skoowoo/vaultr-notes/vaultr-recap"><img src="https://agentmods.dev/badge/skills/skoowoo/vaultr-notes/vaultr-recap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 20 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00192 | $0.00427 |
| Opus 5 | $0.00096 | $0.00214 |
| Sonnet 5 | $0.00038 | $0.00085 |
| Haiku 4.5 | $0.00019 | $0.00043 |
Grade A, and why
vaultr-recap 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.
What it actually says
Vaultr Recap — Router
Environment check
vaultr --help
If vaultr is not found, inform the user and stop.
Identify intent → load sub-skill
| Scenario | Trigger signals | Sub-skill |
|---|---|---|
| Associative recap | user shares/references a single note, short note, draft, or pasted text and wants related or conflicting knowledge surfaced right now | @associative.md |
| Periodic review | "weekly review", "回顾一下这周/这个月", review of everything created/updated over a past window rather than one piece of content | @periodic-review.md |
Load the matching sub-skill. If the request is ambiguous (e.g. just "recap" with no note and no time window named), ask the user which they mean before proceeding.
Both sub-skills share references/extract.md for partial-read commands, and both produce a conversational recap only — never a saved file.
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 · 28 lines · 192 tokens per session scan A d3e5c4796690
vaultr-recap is a skill published in the GitHub repository skoowoo/vaultr-notes (90 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 192 tokens to every session and 427 once invoked, about $0.0010 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 2026-08-30.
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caveman-compress
Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or…
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