Official agent skill

Algorand Vulnerability Scanner

by trailofbits in trailofbits/skills

Scans Algorand TEAL and PyTeal contracts for 11 known vulnerability patterns, such as unchecked rekeying and fees, and reports each with severity and a fix.

OfficialCC-BY-SA-4.0Auto-check passedSecurity

Install Algorand Vulnerability Scanner

skills CLI
$ npx skills add trailofbits/skills --skill algorand-vulnerability-scanner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install trailofbits/skills algorand-vulnerability-scanner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/trailofbits/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/building-secure-contracts/skills/algorand-vulnerability-scanner .claude/skills/algorand-vulnerability-scanner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
algorand-vulnerability-scanner
GitHub stars
7.4k
Token cost
~3.1k tokens
SKILL.md length
1,253 words
Files
4 (incl. assets)
Skills in repo
79
Repo updated
First seen
Licence
CC-BY-SA-4.0

At a glance

Scans Algorand TEAL and PyTeal contracts for 11 known vulnerability patterns, such as unchecked rekeying and fees, and reports each with severity and a fix.

  • Works in 12 steps: Purpose → When to Use This Skill → Platform Detection → …
  • Auditing Algorand stateful applications or smart signatures
  • SKILL.md covers 1. Purpose, 2. When to Use This Skill, 3. Platform Detection and 4. How This Skill Works, plus 6 more sections
  • Calls uv

What it does

Based on the Not So Smart Contracts database from Trail of Bits, the skill searches a project for TEAL files and PyTeal code, recognizing them by extensions, PyTeal imports and files such as approval_program.py. It checks each file against 11 patterns tied to Algorand's transaction model, including an unchecked RekeyTo field, unvalidated fees in smart signatures and unchecked CloseRemainderTo or AssetCloseTo fields that can drain an account or asset holding.

The report lists findings with file references and severity, beneath a coverage table that gives a verdict for every pattern, and each issue comes with a fix. If Tealer, the Trail of Bits static analyzer, is installed through uv, it is run as well. Detection patterns, examples and mitigations are kept in VULNERABILITY_PATTERNS.md.

When your agent uses it

  • Auditing Algorand stateful applications or smart signatures
  • Reviewing TEAL assembly or PyTeal code before launch
  • Confirming that fixes for reported Algorand issues work
  • Teaching a team Algorand-specific security patterns

Example prompts

  • “Scan this repository's PyTeal contracts for rekeying and close-out vulnerabilities.”
  • “Review contract.teal and give me a coverage table with a verdict for every pattern.”
  • “Run Tealer on signature.teal and explain what it finds.”

Requirements

  • Optional: Tealer, installed with uv, for automated detection

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Purpose
  2. When to Use This Skill
  3. Platform Detection
  4. How This Skill Works
  5. Example Output
  6. Vulnerability Patterns (11 Patterns)
  7. Scanning Workflow
  8. Reporting Format
  9. Priority Guidelines
  10. Testing Recommendations
  11. Additional Resources
  12. Quick Reference Checklist

What it can do on your machine

Read from SKILL.md and the folder at commit 82fe822. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • developer.algorand.org
    • pyteal.readthedocs.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Algorand Vulnerability Scanner loads about 3.1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,253 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from trailofbits/skills at commit 82fe822, republished under its CC-BY-SA-4.0 licence (© trailofbits). 1,253 words, ~3,136 tokens.

Download SKILL.mdSave it as .claude/skills/algorand-vulnerability-scanner/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
algorand-vulnerability-scanner
description
Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).

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
python
# 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: uv tool install tealer (ensure uv's tool bin dir is on PATH)
  • 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, above them a coverage table carrying a verdict for every pattern
  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

Coverage: 11/11 patterns reported
 1 Rekeying Attack ................... found   approval.py:45
 2 Unchecked Transaction Fee ......... n/a     stateful app, fees paid by sender
 3 Closing Account ................... clear   Assert(Txn.close_remainder_to() == Global.zero_address())
 ... one row per pattern, all 11 present ...

---

[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.

6. 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.

Pattern Summary:
  1. Rekeying Attack ⚠️ CRITICAL - Unchecked RekeyTo field
  2. Unchecked Transaction Fee ⚠️ HIGH - Fee not validated in smart signatures
  3. Closing Account (CloseRemainderTo) ⚠️ CRITICAL - Unchecked CloseRemainderTo drains the account
  4. Closing Asset (AssetCloseTo) ⚠️ CRITICAL - Unchecked AssetCloseTo drains the asset holding
  5. Group Size Check ⚠️ HIGH - No Global.group_size() validation on atomic groups
  6. Time-Based Replay Attack ⚠️ MEDIUM - No lease or round-range bound
  7. Access Controls ⚠️ CRITICAL - Update/delete and privileged calls unprotected
  8. Asset ID Verification ⚠️ HIGH - Asset ID not validated in asset operations
  9. Denial of Service (Asset Opt-In) ⚠️ MEDIUM - Push transfers strand on un-opted accounts
  10. Inner Transaction Fee ⚠️ MEDIUM - Inner fee not explicitly set to 0
  11. Clear State Transaction ⚠️ HIGH - Clear state program cannot reject, state left inconsistent

For complete vulnerability patterns with code examples, see VULNERABILITY_PATTERNS.md.

7. 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
# Run Tealer on contract
tealer contract.teal --detect all

# Or specific detectors
tealer contract.teal --detect unprotected-rekey,group-size-check,update-application-check
Step 3: Manual Vulnerability Sweep

For each of the 11 vulnerabilities above:

  1. Search for relevant transaction field usage
  2. Verify validation logic exists
  3. Check for bypass conditions
  4. Validate inner transaction handling
Step 4: Transaction Field Validation Matrix

Create checklist for all transaction types used:

Payment Transactions:

  • RekeyTo validated
  • CloseRemainderTo validated
  • Fee validated (if smart signature)

Asset Transfers:

  • Asset ID validated
  • AssetCloseTo validated
  • RekeyTo validated

Application Calls:

  • OnComplete validated
  • Access controls enforced
  • Group size validated

Inner Transactions:

  • Fee explicitly set to 0
  • RekeyTo not user-controlled (Teal v6+)
  • All fields validated
Step 5: Group Transaction Analysis

For atomic transaction groups:

  1. Validate Global.group_size() checks
  2. Review absolute vs relative indexing
  3. Check for replay protection (Lease field)
  4. Verify OnComplete fields for ApplicationCalls in group
Step 6: Access Control Review
  • Creator/admin privileges properly enforced
  • Update/delete operations protected
  • Sensitive functions have authorization checks

8. Reporting Format

Coverage Table

Report on every pattern in §6, whether or not it turned anything up. Emit this table above the findings, with all 11 rows present:

#PatternVerdictEvidence
1Rekeying Attackfoundapproval.py:45 -- no Txn.rekey_to() assertion on the payment branch
2Unchecked Transaction Fee
3Closing Account (CloseRemainderTo)
4Closing Asset (AssetCloseTo)
5Group Size Check
6Time-Based Replay Attack
7Access Controls
8Asset ID Verification
9Denial of Service (Asset Opt-In)
10Inner Transaction Fee
11Clear State Transaction

Each verdict is one of:

  • found — cite file:line and write the finding up in full below.
  • clear — the pattern applies to this contract and the contract handles it. Name the field, opcode, or check you searched for, so a reader can repeat the search.
  • n/a — the pattern cannot apply here. Give the reason in one clause ("no inner transactions in this contract"). Not having looked is not n/a.

A table with fewer than 11 rows is an incomplete scan and must be reported as one. A row whose Verdict cell is empty is incomplete in the same way: row 1 above is filled in to show the shape, and every row is filled in the same way before the report is done. Eleven clear verdicts is a result a reader can act on. A report that covers four patterns and says nothing about the other seven reads exactly like a clean contract, and that is the failure this table exists to prevent.

Show full SKILL.md (456 more words)Show less
Finding Template
markdown
## [SEVERITY] Vulnerability Name (e.g., Missing RekeyTo Validation)

**Location**: `contract.teal:45-50` or `approval_program.py:withdraw()`

**Description**:
The contract approves payment transactions without validating the RekeyTo field, allowing an attacker to rekey the account and bypass future authorization checks.

**Vulnerable Code**:
```python
# approval_program.py, line 45
If(Txn.type_enum() == TxnType.Payment,
    Approve()  # Missing RekeyTo check
)
```

**Attack Scenario**:
1. Attacker submits payment transaction with RekeyTo set to attacker's address
2. Contract approves transaction without checking RekeyTo
3. Account authorization is rekeyed to attacker
4. Attacker gains full control of account

**Recommendation**:
Add explicit validation of the RekeyTo field:
```python
If(And(
    Txn.type_enum() == TxnType.Payment,
    Txn.rekey_to() == Global.zero_address()
), Approve(), Reject())
```

**References**:
- building-secure-contracts/not-so-smart-contracts/algorand/rekeying
- Tealer detector: `unprotected-rekey`

9. Priority Guidelines

Critical (Immediate Fix Required)
  • Rekeying attacks
  • CloseRemainderTo / AssetCloseTo issues
  • Access control bypasses
High (Fix Before Deployment)
  • Unchecked transaction fees
  • Asset ID validation issues
  • Group size validation
  • Clear state transaction checks
Medium (Address in Audit)
  • Inner transaction fee issues
  • Time-based replay attacks
  • DoS via asset opt-in

10. Testing Recommendations

Unit Tests Required
  • Test each vulnerability scenario with PoC exploit
  • Verify fixes prevent exploitation
  • Test edge cases (group size = 0, empty addresses, etc.)
Tealer Integration
bash
# Add to CI/CD pipeline
tealer approval.teal --detect all --json > tealer-report.json

# Fail build on critical findings
tealer approval.teal --detect all --fail-on critical,high
Scenario Testing
  • Submit transactions with all critical fields manipulated
  • Test atomic groups with unexpected sizes
  • Attempt access control bypasses
  • Verify inner transaction fee handling

11. Additional Resources


12. Quick Reference Checklist

Before completing Algorand audit, verify ALL items checked:

  • RekeyTo validated in all transaction types
  • CloseRemainderTo validated in payment transactions
  • AssetCloseTo validated in asset transfers
  • Transaction fees validated (smart signatures)
  • Group size validated for atomic transactions
  • Lease field used for replay protection (where applicable)
  • Access controls on Update/Delete operations
  • Asset ID validated in all asset operations
  • Asset transfers use pull pattern to avoid DoS
  • Inner transaction fees explicitly set to 0
  • OnComplete field validated for ApplicationCall transactions
  • Tealer scan completed with no critical/high findings
  • Unit tests cover all vulnerability scenarios
  • Coverage table emitted with all 11 rows, each carrying a verdict of found, clear or n/a with a reason

13. Rationalizations to Reject

  • "The contract is small, so most patterns obviously don't apply." Obvious to whom? An n/a costs one clause and makes the judgment reviewable. Silence records nothing, and a reader cannot tell it apart from not having checked.
  • "Tealer reported nothing, so the contract is clean." Tealer covers a subset of these 11 patterns and does not reach the logic-level ones at all. A clean tool run is one row of evidence, not a verdict on the patterns it never examined. Say which patterns it covered.
  • "I checked the patterns that matter for this contract." Deciding which patterns matter is the scan, not a precondition for starting it. Rank by severity after the table is complete, not by leaving rows out.
  • "No findings, so there is nothing to report." A zero-finding scan still emits the full coverage table. That table is the deliverable: it is what distinguishes a contract that was examined from one that was glanced at.
  • "PyTeal/Beaker handles this." Name the version and the mechanism. Framework defaults change between releases, and a framework that covers a pattern on one call path often does not on another.
  • "The RekeyTo check is in the other program." Then cite it. A validation you believe exists elsewhere is an assumption until you have the file:line, and split-program contracts are where these checks go missing.

© trailofbits, CC-BY-SA-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (assets) in plugins/building-secure-contracts/skills/algorand-vulnerability-scanner of trailofbits/skills.

  • SKILL.md
  • agents/openai.yaml
  • assets/trail-of-bits-mark.svg
  • resources/VULNERABILITY_PATTERNS.md

Open the folder on GitHubat commit 82fe822

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Questions about Algorand Vulnerability Scanner

What does Algorand Vulnerability Scanner do?

Scans Algorand TEAL and PyTeal contracts for 11 known vulnerability patterns, such as unchecked rekeying and fees, and reports each with severity and a fix. py. It checks each file against 11 patterns tied to Algorand's transaction model, including an unchecked RekeyTo field, unvalidated fees in smart signatures and unchecked CloseRemainderTo or AssetCloseTo fields that can drain an account or asset holding.

When should I use Algorand Vulnerability Scanner?

Algorand Vulnerability Scanner fits situations like: auditing Algorand stateful applications or smart signatures; reviewing TEAL assembly or PyTeal code before launch; confirming that fixes for reported Algorand issues work; teaching a team Algorand-specific security patterns.

How do I install Algorand Vulnerability Scanner in Claude Code?

Run `npx skills add trailofbits/skills --skill algorand-vulnerability-scanner -a claude-code`. Or copy the skill folder (plugins/building-secure-contracts/skills/algorand-vulnerability-scanner in trailofbits/skills) into .claude/skills/algorand-vulnerability-scanner in your project. Claude Code loads it when a task matches its description.

How do I install Algorand Vulnerability Scanner in Codex?

Run `npx skills add trailofbits/skills --skill algorand-vulnerability-scanner -a codex`. Or copy the skill folder (plugins/building-secure-contracts/skills/algorand-vulnerability-scanner in trailofbits/skills) into .agents/skills/algorand-vulnerability-scanner in your project. Codex loads it when a task matches its description.

Can I use Algorand Vulnerability Scanner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add trailofbits/skills --skill algorand-vulnerability-scanner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algorand-vulnerability-scanner, .gemini/skills/algorand-vulnerability-scanner, .github/skills/algorand-vulnerability-scanner and .opencode/skills/algorand-vulnerability-scanner in your project.

What does Algorand Vulnerability Scanner need to run?

Going by SKILL.md and its folder, Algorand Vulnerability Scanner needs the command-line tools its instructions call (uv). Our summary lists: Optional: Tealer, installed with uv, for automated detection.

Does Algorand Vulnerability Scanner access the network?

SKILL.md names 3 domains. As links in the text: github.com, developer.algorand.org and pyteal.readthedocs.io. This is read from the text; nothing was executed.

Is Algorand Vulnerability Scanner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Algorand Vulnerability Scanner use?

Algorand Vulnerability Scanner is published under the CC-BY-SA-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Algorand Vulnerability Scanner use?

About 3.1k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Algorand Vulnerability Scanner?

Skills that share tags, products or a category with Algorand Vulnerability Scanner: Ethereum Smart Contract Vulnerability Analysis (tradecatlabs/vibe-coding-cn, 17k stars), Security Verification Gate (fengshao1227/ccg-workflow, 5.9k stars), Secknowledge Skill (Pa55w0rd/secknowledge-skill, 423 stars) and Pyspector Security Audit (ParzivalHack/PySpector, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Algorand Vulnerability Scanner?

trailofbits (a GitHub organization, an official publisher) maintains it in trailofbits/skills, which has 7,400 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on October 2, 2026.

Source: trailofbits/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.