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 ArabelaTso/Skills-4-SE --skill library-for-proof-advisorgit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/library-for-proof-advisor)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/library-for-proof-advisor"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/library-for-proof-advisor/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/arabelatso/skills-4-se/library-for-proof-advisor"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/library-for-proof-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00117 | $0.02050 |
| Opus 5 | $0.00059 | $0.01025 |
| Sonnet 5 | $0.00023 | $0.00410 |
| Haiku 4.5 | $0.00012 | $0.00205 |
Grade A, and why
library-advisor 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 7d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Library Usage Advisor
Recommend relevant libraries, lemmas, and theories from Isabelle/HOL or Coq standard libraries based on proof goals.
Workflow
1. Analyze the Proof Goal
Examine the goal to identify:
- Domain: Lists, sets, arithmetic, logic, etc.
- Operations: Specific functions or operators involved
- Pattern: Commutativity, associativity, distributivity, etc.
- Complexity: Simple property vs. complex relationship
2. Determine Target System
Identify which proof assistant:
- Isabelle/HOL: Use Main library and extensions
- Coq: Use standard library (List, Arith, etc.)
- Both: Provide recommendations for both systems
3. Identify Relevant Libraries
Based on the domain, recommend appropriate libraries:
For list operations:
- Isabelle: Main (List theory included)
- Coq:
Require Import List. Import ListNotations.
For arithmetic:
- Isabelle: Main (Nat theory included)
- Coq:
Require Import Arith Lia.
For sets:
- Isabelle: Main (Set theory included)
- Coq:
Require Import MSets.
For logic:
- Isabelle: HOL (automatically available)
- Coq:
Require Import Logic.
4. Search for Specific Lemmas
Look for lemmas that directly match the goal:
Exact matches: Lemmas that prove the goal directly Component lemmas: Lemmas for parts of the goal Related lemmas: Similar properties that might help
Use the library reference files:
- Isabelle library: See isabelle_library.md
- Coq library: See coq_library.md
5. Recommend Usage
Provide concrete recommendations:
Direct application:
lemma "goal"
by (simp add: relevant_lemma)
With additional steps:
Lemma goal : statement.
Proof.
apply relevant_lemma.
(* additional steps *)
Qed.
Manual proof with lemmas: Show how to use lemmas in a structured proof
6. Suggest Search Commands
Teach users how to find lemmas themselves:
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.
- 7d ago First seen · 330 lines · 117 tokens per session scan A e8943194bd4f
library-advisor is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 21d ago), licensed Apache-2.0. It adds 117 tokens to every session and 2,050 once invoked, about $0.0006 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 2026-09-03.
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