Vibe is a desktop application and command-line tool that transcribes audio and video locally on a user's device, turning speech into text and subtitle or document files. People use it for private transcription, translation, summaries, speaker labeling, and batch processing across supported desktop systems and models. The catalogue skill and instruction support working with Vibe.
Borrowing it
Nothing to install: this file belongs to thewh1teagle/vibe. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/thewh1teagle/vibe/main/.skills/aptabase-analytics-report/SKILL.mdgit clone --depth 1 https://github.com/thewh1teagle/vibeWrote 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/thewh1teagle/vibe/aptabase-analytics-report)<a href="https://agentmods.dev/skills/thewh1teagle/vibe/aptabase-analytics-report"><img src="https://agentmods.dev/badge/skills/thewh1teagle/vibe/aptabase-analytics-report/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/thewh1teagle/vibe/aptabase-analytics-report"><img src="https://agentmods.dev/badge/skills/thewh1teagle/vibe/aptabase-analytics-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, 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 27 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
- medium Prompt Injection · line 29 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
- medium Prompt Injection · line 31 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
- medium Prompt Injection · line 32 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
- medium Prompt Injection · line 34 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 | $0.00000 | $0.01607 |
| Opus 5 | $0.00000 | $0.00804 |
| Sonnet 5 | $0.00000 | $0.00321 |
| Haiku 4.5 | $0.00000 | $0.00161 |
Grade A, and why
aptabase-analytics-report 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aptabase Analytics Report
Overview
Use this skill to export Aptabase telemetry from the Vibe repo, trim day-granularity exports to an exact time window, and produce a reliability report from the CSV with inline uv + pandas commands.
Prerequisites
The export script requires a .env file at the repo root with these variables:
BASE_URL– Aptabase server URLAUTH_SECRET– JWT signing secretAUTH_NAME– account nameAUTH_EMAIL– account emailAPP_KEY– app key (e.g.A-SH-0194598703)APTABASE_REGION– optional, defaults to"SH"
CSV Schema
The exported CSV contains these columns:
| Column | Description |
|---|---|
timestamp |
UTC timestamp of the event |
event_name |
Event identifier (see event lifecycle below) |
user_id |
Anonymous user identifier |
app_version |
Semantic version of the app |
os_name |
OS family (e.g. Windows, macOS, Linux Mint) |
os_version |
OS version string |
string_props |
JSON object with event metadata. Failure events contain an error_message key with the full error string. |
numeric_props |
JSON object with numeric event metadata |
Workflow
1. Confirm the event set
Read these files before interpreting the export:
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 Changed cfcf4cf6ead4
- 9d ago First seen · 166 lines · 0 tokens per session scan A 82591f17fa84
aptabase-analytics-report is a skill published in the GitHub repository thewh1teagle/vibe (7,366 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,607 tokens. 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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