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 shrwnsan/vibekit-claude-plugins --skill self-reflectgit clone --depth 1 https://github.com/shrwnsan/vibekit-claude-pluginsWrote 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/shrwnsan/vibekit-claude-plugins/self-reflect)<a href="https://agentmods.dev/skills/shrwnsan/vibekit-claude-plugins/self-reflect"><img src="https://agentmods.dev/badge/skills/shrwnsan/vibekit-claude-plugins/self-reflect/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/shrwnsan/vibekit-claude-plugins/self-reflect"><img src="https://agentmods.dev/badge/skills/shrwnsan/vibekit-claude-plugins/self-reflect.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 | $0.00102 | $0.01290 |
| Opus 5 | $0.00051 | $0.00645 |
| Sonnet 5 | $0.00020 | $0.00258 |
| Haiku 4.5 | $0.00010 | $0.00129 |
Grade A, and why
self-reflect 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 today.
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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- today First seen · 104 lines · 102 tokens per session scan A f3c93571e490
self-reflect is a skill published in the GitHub repository shrwnsan/vibekit-claude-plugins (7 stars, last pushed yesterday), with no licence file. It adds 102 tokens to every session and 1,290 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 2026-09-10.
Other skills, from other repositories
reflect
Self-assessment of AI session quality. Scores 5 dimensions from session data and harness memory. Not an agent performance review — it's human self-reflection on how well they used AI assistance. Use when the user says "reflect", "how did I do", "session review", or at the end of a long session.
xray
Investigate how a concept, code path, application, network flow, system, incident, document, or local artifact actually works, then deliver a two-depth visual HTML explainer with a dead-simple big-picture first layer and source-backed technical depth behind it. Use when the user invokes $xray, asks how something works…
quiz-me
Post-work comprehension check: after a change is complete, generate a self-contained HTML report of what was done (context, intuition, decisions) with a quiz at the bottom that you answer. Verifying the HUMAN absorbed the work, not the artifact. Non-gating by default; the quizpolicy userConfig tunes offer cadence.…
hold-my-hand
Hold the user's hand through a long multi-step job. Partition the remaining work into phases and present ONLY the current one, never the phases after it beyond a one-line 'Phase 1 of 8' count. Each phase names where to be, numbered steps with exact commands, the expected output, the common failure, who performs each…
eli5
Dead-simple VISUAL explainer. Produces a visual HTML explainer that assumes zero prior knowledge: one idea per diagram, minimal text. Works on a codebase object (a module, a tradeoff, an incident) or a general concept, and grounds in the real artifact before drawing anything. Use when: 'ELI5', 'explain like I'm five'…
name-it-better
Generate and evaluate fresh name candidates for anything: a variable, function, file, module, skill, repo, or domain term. Then let the human pick. Use when the target name is still UNDECIDED, whether the ask is a fresh name ('suggest names', 'what should I call this') or a retry on one just rejected ('name it…