algorand-vulnerability-scanner

algorand-vulnerability-scanner is a skill for Claude Code, Codex from onfire7777/universal-ai-skills-library. It costs 54 tokens per session (2,128 once invoked), scanned A, original, MIT.

A security scanner for Algorand smart contracts written in TEAL or PyTeal. It checks for 11 known flaws in how these blockchain contracts handle transactions and permissions.

In plain words
What is it for?
Use it to review Algorand contracts, assess a project before a security audit, check reported fixes, or teach a team about common Algorand vulnerabilities.
Why use it?
It helps find platform-specific security problems before an audit or deployment, including rekeying attacks, unchecked fees, missing validation, and access-control errors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review Algorand contracts, assess a project before a security audit, check reported fixes, or teach a team about common Algorand vulnerabilities.

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Install with agentmods
npx agentmods add skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner
Install

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.

Any agent
npx skills add onfire7777/universal-ai-skills-library --skill algorand-vulnerability-scanner
Clone the repo
git clone --depth 1 https://github.com/onfire7777/universal-ai-skills-library

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for algorand-vulnerability-scanner

README.md
[![agentmods](https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner/github.svg)](https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner)
Your own site
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner/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.

agentmods 80×15 button for algorand-vulnerability-scanner

Your own site · 80×15
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/algorand-vulnerability-scanner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,128 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.02128
Opus 5 $0.00027 $0.01064
Sonnet 5 $0.00011 $0.00426
Haiku 4.5 $0.00005 $0.00213

Measured 9d ago against content hash 55cb81432a4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

algorand-vulnerability-scanner 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.

skills/algorand-vulnerability-scanner/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Algorand Vulnerability Scanner

1. Purpose

Systematically scan Algorand smart contracts (TEAL and PyTeal) for platform-specific security vulnerabilities documented in Trail of Bits' "Not So Smart Contracts" database. This skill encodes 11 critical vulnerability patterns unique to Algorand's transaction model.

2. When to Use This Skill

  • Auditing Algorand smart contracts (stateful applications or smart signatures)
  • Reviewing TEAL assembly or PyTeal code
  • Pre-audit security assessment of Algorand projects
  • Validating fixes for reported Algorand vulnerabilities
  • Training team on Algorand-specific security patterns

3. Platform Detection

File Extensions & Indicators

  • TEAL files: .teal
  • PyTeal files: .py with PyTeal imports

Language/Framework Markers

# PyTeal indicators
from pyteal import *
from algosdk import *

# Common patterns
Txn, Gtxn, Global, InnerTxnBuilder
OnComplete, ApplicationCall, TxnType
@router.method, @Subroutine

Project Structure

  • approval_program.py / clear_program.py
  • contract.teal / signature.teal
  • References to Algorand SDK or Beaker framework

Tool Support

  • Tealer: Trail of Bits static analyzer for Algorand
  • Installation: pip3 install tealer
  • Usage: tealer contract.teal --detect all

4. How This Skill Works

When invoked, I will:

  1. Search your codebase for TEAL/PyTeal files
  2. Analyze each file for the 11 vulnerability patterns
  3. Report findings with file references and severity
  4. Provide fixes for each identified issue
  5. Run Tealer (if installed) for automated detection

5. Example Output

When vulnerabilities are found, you'll get a report like this:

=== ALGORAND VULNERABILITY SCAN RESULTS ===

Project: my-algorand-dapp
Files Scanned: 3 (.teal, .py)
Vulnerabilities Found: 2

---

[CRITICAL] Rekeying Attack
File: contracts/approval.py:45
Pattern: Missing RekeyTo validation

Code:
    If(Txn.type_enum() == TxnType.Payment,
        Seq([
            # Missing: Assert(Txn.rekey_to() == Global.zero_address())
            App.globalPut(Bytes("balance"), balance + Txn.amount()),
            Approve()
        ])
    )

Issue: The contract doesn't validate the RekeyTo field, allowing attackers
to change account authorization and bypass restrictions.


---

## 5. Vulnerability Patterns (11 Patterns)

I check for 11 critical vulnerability patterns unique to Algorand. For detailed detection patterns, code examples, mitigations, and testing strategies, see [VULNERABILITY_PATTERNS.md](resources/VULNERABILITY_PATTERNS.md).

### Pattern Summary:

1. **Rekeying Vulnerability** ⚠️ CRITICAL - Unchecked RekeyTo field
2. **Missing Transaction Verification** ⚠️ CRITICAL - No GroupSize/GroupIndex checks
3. **Group Transaction Manipulation** ⚠️ HIGH - Unsafe group transaction handling
4. **Asset Clawback Risk** ⚠️ HIGH - Missing clawback address checks
5. **Application State Manipulation** ⚠️ MEDIUM - Unsafe global/local state updates
6. **Asset Opt-In Missing** ⚠️ HIGH - No asset opt-in validation
7. **Minimum Balance Violation** ⚠️ MEDIUM - Account below minimum balance
8. **Close Remainder To Check** ⚠️ HIGH - Unchecked CloseRemainderTo field
9. **Application Clear State** ⚠️ MEDIUM - Unsafe clear state program
10. **Atomic Transaction Ordering** ⚠️ HIGH - Assuming transaction order
11. **Logic Signature Reuse** ⚠️ HIGH - Logic sigs without uniqueness constraints

For complete vulnerability patterns with code examples, see [VULNERABILITY_PATTERNS.md](resources/VULNERABILITY_PATTERNS.md).
## 5. Scanning Workflow

### Step 1: Platform Identification
1. Confirm file extensions (`.teal`, `.py`)
2. Identify framework (PyTeal, Beaker, pure TEAL)
3. Determine contract type (stateful application vs smart signature)
4. Locate approval and clear state programs

### Step 2: Static Analysis with Tealer
```bash

Read the full file on GitHub · 285 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 9d ago First seen · 285 lines · 54 tokens per session scan A 55cb81432a4d

Subscribe to this mod's changes

algorand-vulnerability-scanner is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 2,128 once invoked, about $0.0003 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.