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 verified-pseudocode-extractorgit 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/verified-pseudocode-extractor)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/verified-pseudocode-extractor"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/verified-pseudocode-extractor/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/verified-pseudocode-extractor"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/verified-pseudocode-extractor.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 | $0.00123 | $0.01997 |
| Opus 5 | $0.00062 | $0.00999 |
| Sonnet 5 | $0.00025 | $0.00399 |
| Haiku 4.5 | $0.00012 | $0.00200 |
Grade A, and why
verified-pseudocode-extractor 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.
Verified Pseudocode Extractor
Extract language-agnostic pseudocode from formally verified programs while preserving verified properties and algorithmic structure.
Core Principles
Semantic Faithfulness
- Preserve exact control flow from verified code
- Maintain all data dependencies
- Keep algorithmic logic intact
- Do not introduce new behavior
- Do not omit verified steps
Verification Preservation
- Mark verified properties explicitly
- Retain preconditions and postconditions
- Include loop invariants
- Note termination arguments
- Distinguish verified from unverified components
Abstraction Without Loss
- Remove language-specific syntax
- Remove proof-specific code
- Keep essential algorithmic structure
- Maintain readability
- Preserve correctness guarantees
Workflow
1. Identify Verified Components
Scan the input code for:
- Function definitions:
fun,Fixpoint,Definition - Theorems:
lemma,theorem,Theorem,Lemma - Specifications:
assumes/shows, preconditions/postconditions - Invariants: Loop invariants, inductive invariants
- Helper lemmas: Supporting correctness proofs
2. Extract Core Algorithm
For each verified function:
Preserve:
- Function signature (name, parameters, return type)
- Control flow (if/then/else, pattern matching, recursion)
- Data flow (variable assignments, computations)
- Termination structure (base cases, recursive calls)
Remove:
- Proof tactics (
by simp,auto,lia,Proof...Qed) - Type system details (type classes, implicit arguments)
- Language-specific syntax (
#vs::,@vs++) - Proof-only lemmas
- Module qualifications
3. Extract Verification Annotations
Identify and mark:
Preconditions:
PRECONDITION: condition [VERIFIED: lemma_name]
Postconditions:
POSTCONDITION: property [VERIFIED: theorem_name]
Invariants:
INVARIANT: property [VERIFIED]
Termination:
TERMINATION: argument [VERIFIED: termination_proof]
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.
- 7d ago First seen · 330 lines · 123 tokens per session scan A 00f2dfd71391
verified-pseudocode-extractor is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (251 stars, last pushed 20d ago), licensed Apache-2.0. It adds 123 tokens to every session and 1,997 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.
Other skills, from other repositories
present-paper
Academic presentation preparation — paper-driven (journal club, grand rounds, seminar) and lecture/teaching decks (course material, workshop slides, conference talks). Analyzes source material, finds supporting references, drafts audience-adapted speaker scripts, generates or augments PPTX with speaker notes, and…
paper-digest
A skill that turns one research paper into a teaching-style digest for quickly understanding its content. bioRxiv-style research papers are scientific articles, and a digest summarizes and reorganizes the paper rather than judging whether its methods are reliable.
defense-qa-coach
A preparation coach for thesis defenses, doctoral exams, and conference question-and-answer sessions. It helps researchers practise answering questions from the viewpoint of a committee member.
talk-builder
Turn a paper (or several, a thesis, a body of work) into an academic talk — outline, per-slide content, speaker notes, opening hook, single take-home message, backup slides for Q&A, rehearsal plan. Adapts to talk length (3-min lightning through 90-min defense), audience (specialists / general field /…
matlab-generate-grader-assessments
Generate MATLAB Grader assessment item sets. Use when the user asks to create MATLAB Grader assessment items, generate MATLAB assessment materials, build MATLAB homework assessment items, QTI 3 portable assessment items, or mentions "grader assessment items". Produces complete assessment item folders with description…
matlab-create-course-activity
Create MATLAB Course Designer MATLAB Exercise learning activities by wrapping the existing matlab-generate-grader-assessments skill, then validating generated solution.m, template.m, and tests.m files with MATLAB MCP Server tool calls. Use when the user asks to create a MATLAB Exercise, MATLAB course activity, Course…