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 proof-carrying-code-generatorgit 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/proof-carrying-code-generator)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/proof-carrying-code-generator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/proof-carrying-code-generator/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/proof-carrying-code-generator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/proof-carrying-code-generator.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 | $0.00083 | $0.02989 |
| Opus 5 | $0.00042 | $0.01494 |
| Sonnet 5 | $0.00017 | $0.00598 |
| Haiku 4.5 | $0.00008 | $0.00299 |
Grade A, and why
proof-carrying-code-generator 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.
How it starts
The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proof-Carrying Code Generator
Generate executable code bundled with formal proofs that certify key safety and correctness properties.
Overview
Proof-carrying code (PCC) is executable code accompanied by formal proofs that certify specific properties. This skill helps generate:
- Verified implementations with correctness proofs
- Safety certificates for memory safety, bounds checking, null safety
- Functional specifications with pre/postconditions
- Invariant proofs for data structure integrity
- Extracted code from verified specifications
The generated code can be extracted to mainstream languages (OCaml, Haskell, SML) while maintaining proof certificates.
PCC Generation Workflow
Requirements
↓
Formal Specification
↓
Verified Implementation
↓
Proof Obligations
↓
Certified Code + Proofs
↓
Code Extraction
Core Approaches
Approach 1: Specification-First
Start with formal specification, implement, then prove.
Steps:
- Write formal specification
- Implement function/algorithm
- State correctness theorem
- Prove theorem
- Extract code
Example (Isabelle):
(* Specification *)
definition sorted_spec :: "nat list ⇒ nat list ⇒ bool" where
"sorted_spec input output ≡ sorted output ∧ mset output = mset input"
(* Implementation *)
fun insertion_sort :: "nat list ⇒ nat list" where
"insertion_sort [] = []" |
"insertion_sort (x # xs) = insert x (insertion_sort xs)"
(* Correctness theorem *)
theorem insertion_sort_correct:
"sorted_spec input (insertion_sort input)"
proof (induction input)
case Nil
then show ?case by (simp add: sorted_spec_def)
next
case (Cons x xs)
then show ?case
using insert_sorted mset_insert
by (auto simp: sorted_spec_def)
qed
(* Extract code *)
export_code insertion_sort in SML file "sort.sml"
Approach 2: Refinement-Based
Start abstract, refine to concrete with proofs at each step.
Steps:
- Abstract specification
- Refine to intermediate level
- Prove refinement correct
- Refine to executable code
- Prove final refinement
- Extract code
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 · 447 lines · 83 tokens per session scan A 70f25ca29ae7
proof-carrying-code-generator is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 22d ago), licensed Apache-2.0. It adds 83 tokens to every session and 2,989 once invoked, about $0.0004 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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