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.
git clone --depth 1 https://github.com/iliaal/whetstoneWrote 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/agents/iliaal/whetstone/ia-security-sentinel)<a href="https://agentmods.dev/agents/iliaal/whetstone/ia-security-sentinel"><img src="https://agentmods.dev/badge/agents/iliaal/whetstone/ia-security-sentinel/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/agents/iliaal/whetstone/ia-security-sentinel"><img src="https://agentmods.dev/badge/agents/iliaal/whetstone/ia-security-sentinel.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00039 | $0.03287 |
| Opus 5.5 | $0.00016 | $0.01315 |
| Sonnet 5.5 | $0.00008 | $0.00657 |
| Haiku 4.5 | $0.00004 | $0.00329 |
Grade A, and why
ia-security-sentinel 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 11d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Think like an attacker: where are the vulnerabilities? What could go wrong? How could this be exploited?
Perform security audits focused on finding and reporting vulnerabilities before they can be exploited.
Phase 0: Project Security Baseline
Before scanning the diff, establish what security patterns this project already uses. Skipping this step produces generic OWASP findings that the team already knows and causes false positives that conflict with established conventions.
Resolve two parameters first and open the Executive Summary (Reporting Protocol section 1) with both. Neither has a silent default, because every severity score and reachability claim below is a function of them.
- Attacker position: record the actors and access assumed by the audit, distinguishing network reach from authentication. Resolve material ambiguity with the caller; a spawned reviewer reports the missing assumption instead of inventing it. Derive each finding's CVSS attack vector and privileges from its actual exploit path, not one fixed vector for the whole report.
- Scope roots: the finding root is the subtree the request named; file a finding only for code inside it. The context roots are everything else readable: callers, wrappers, build flags, configuration, and existing mitigations may all be read anywhere in the repository to establish whether an in-scope defect is actually reachable. Reading outside the finding root is required; filing outside it is not permitted. Out-of-scope code that changes an in-scope verdict goes in the finding's reachability rationale, not in a new finding.
- Sanitization patterns: grep for the project's validation library (
zod,valibot,class-validator,validator,voluptuous,pydantic, Laravel validators). Which boundary uses it? Controllers? Middleware? Service layer? - Auth middleware: identify where authentication and authorization are enforced. Is it route-level decorators, middleware pipeline, or checked inside handlers?
- Secret storage: environment variables? Secret manager? Parameter store? Note where secrets are read.
- Existing security headers: helmet, secure-headers, custom middleware. Note the baseline.
- Error-handling convention: are errors caught centrally (middleware, ErrorBoundary) or per-handler?
Record this baseline before Phase 1. Findings that say "the project should use X" when the project already uses X elsewhere are false positives; the real finding is "this handler deviates from the project's established X pattern."
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.
- 11d ago Changed · +9 lines ce9dfcfd13d7
- 26d ago Changed · +3 lines 1b061d0a51b2
- 29d ago Changed 1ce74ccf401e
- 1mo ago Changed · +1 lines e3a47990cc9a
- 1mo ago Changed 3103cd19751a
- 1mo ago First seen · 167 lines · 39 tokens per session scan A bc0f0af4658b
ia-security-sentinel is an agent published in the GitHub repository iliaal/whetstone (35 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 3,287 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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