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 agentmods add skills/nomarj/sigil/sharp-edgesnpx skills add NOMARJ/sigil --skill sharp-edgesgit clone --depth 1 https://github.com/NOMARJ/sigilWrote 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/nomarj/sigil/sharp-edges)<a href="https://agentmods.dev/skills/nomarj/sigil/sharp-edges"><img src="https://agentmods.dev/badge/skills/nomarj/sigil/sharp-edges.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00068 | $0.00710 |
| Opus 5 | $0.00034 | $0.00355 |
| Sonnet 5 | $0.00014 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
sharp-edges scanned grade A with 1 finding 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 today.
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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- `subprocess.call(shell=True)` or `os.system()` with string interpolation How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sharp Edges Detector
Adapted from Trail of Bits' sharp-edges skill. Identifies API usage patterns and code constructs that are technically valid but frequently lead to security vulnerabilities or reliability failures.
What You're Looking For
Dangerous Function Calls
eval(),exec(),Function()with user-controlled inputinnerHTML,dangerouslySetInnerHTMLwith unsanitized datasubprocess.call(shell=True)oros.system()with string interpolationpickle.loads(),yaml.load()(unsafe deserializer),JSON.parse()on untrusted input without schema validationMath.random()orrandom.random()for security-sensitive operations (use crypto.randomBytes or secrets module)
SQL and Injection Vectors
- String concatenation or template literals in SQL queries
- ORM raw query methods with unparameterized input
- LDAP, XPath, or command injection via string interpolation
- GraphQL queries built from user input without validation
Concurrency and Race Conditions
- TOCTOU (Time-of-Check-Time-of-Use) patterns: checking a condition and acting on it in separate operations
- Shared mutable state without synchronization
- Non-atomic read-modify-write sequences
- File operations without proper locking
Path and File Operations
- Path construction from user input without canonicalization
- Directory traversal via
../in user-supplied paths - Symlink following without verification
- Temporary file creation with predictable names
Cryptographic Footguns
- MD5 or SHA1 for password hashing (use bcrypt, scrypt, or argon2)
- ECB mode for encryption
- Hardcoded IVs or nonces
- Custom cryptographic implementations
- Insufficient key lengths
Type and Memory Safety
- Unchecked type assertions/casts
- Integer overflow in arithmetic used for allocation or indexing
- Buffer operations without bounds checking
- Null pointer dereference patterns
Scan Protocol
1. Parse the changed files into AST (or analyze textually for config files)
2. Walk the AST looking for known dangerous patterns
3. For each finding, assess:
- Is the input user-controlled? (worse) or internal? (less bad)
- Is there sanitization/validation nearby? (might be OK)
- Is this in a test file? (lower severity)
4. Classify and report
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.
- today First seen · 80 lines · 68 tokens per session scan A 5900c1ff1a63
sharp-edges is a skill published in the GitHub repository NOMARJ/sigil (5 stars, last pushed today), licensed Apache-2.0. It adds 68 tokens to every session and 710 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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