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 security-sensitive-path-instrumentergit 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/security-sensitive-path-instrumenter)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/security-sensitive-path-instrumenter"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/security-sensitive-path-instrumenter/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/security-sensitive-path-instrumenter"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/security-sensitive-path-instrumenter.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 | $0.00125 | $0.00884 |
| Opus 5 | $0.00063 | $0.00442 |
| Sonnet 5 | $0.00025 | $0.00177 |
| Haiku 4.5 | $0.00013 | $0.00088 |
Grade A, and why
security-sensitive-path-instrumenter 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security-Sensitive Path Instrumenter
Add structured logging instrumentation to security-critical code paths for runtime monitoring of authentication, authorization, input validation, session management, and other security-relevant events.
Workflow
-
Identify security-sensitive code paths - Locate authentication, authorization, input validation, or session management code that needs instrumentation
-
Determine event types - Classify the security events to monitor (see security_events.md for taxonomy)
-
Review best practices - Check best_practices.md for what to log and what to avoid (never log passwords, secrets, or sensitive PII)
-
Select language patterns - Use language_patterns.md for language-specific instrumentation code (Python, JavaScript/TypeScript, Java)
-
Add instrumentation - Insert structured logging calls at key decision points:
- Before and after authentication attempts
- At authorization check points
- When validation fails
- During session lifecycle events
-
Include context - Log relevant data points:
- User identifier
- Timestamp (automatically added)
- IP address
- Resource accessed
- Success/failure status
- Failure reasons
-
Verify instrumentation - Ensure:
- No sensitive data (passwords, tokens, secrets) is logged
- Structured format (JSON) is used for machine parsing
- Appropriate log levels are set
- Performance impact is minimal
Quick Reference
Event Categories
- Authentication: Login attempts, logout, password changes, MFA, token validation
- Authorization: Access control decisions, permission checks, RBAC evaluations
- Input Validation: Validation failures, injection detection, format violations
- Session Management: Session creation/expiration, IP changes, hijacking detection
- Sensitive Data Access: PII access, financial data, encryption key usage
- Configuration Changes: Permission changes, role assignments, security policy updates
What ships with it
4 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 · 114 lines · 125 tokens per session scan A 725edb804fec
security-sensitive-path-instrumenter is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 22d ago), licensed Apache-2.0. It adds 125 tokens to every session and 884 once invoked, about $0.0006 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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