building-vulnerability-exception-tracking-system

building-vulnerability-exception-tracking-system is a skill for Claude Code, Codex from autohandai/community-skills. It costs 31 tokens per session (1,403 once invoked), scanned A, original, Apache-2.0.

A guide for building a system that records security vulnerabilities that cannot be fixed on time and documents who accepted the risk and for how long.

In plain words
What is it for?
Use it to create exception requests, approval workflows, compensating-control records, expiration handling, and integrations with vulnerability tools and databases.
Why use it?
It prevents temporary risk decisions from disappearing by recording approvals, alternative safeguards, and expiry dates.

Skill for Claude CodeCodex

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

Good fit Use it to create exception requests, approval workflows, compensating-control records, expiration handling, and integrations with vulnerability tools and databases.

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Install with agentmods
npx agentmods add skills/autohandai/community-skills/building-vulnerability-exception-tracking-system
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 autohandai/community-skills --skill building-vulnerability-exception-tracking-system
Clone the repo
git clone --depth 1 https://github.com/autohandai/community-skills

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 building-vulnerability-exception-tracking-system

README.md
[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/building-vulnerability-exception-tracking-system/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/building-vulnerability-exception-tracking-system)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-vulnerability-exception-tracking-system"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-vulnerability-exception-tracking-system/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 building-vulnerability-exception-tracking-system

Your own site · 80×15
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-vulnerability-exception-tracking-system"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-vulnerability-exception-tracking-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,403 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 $0.00031 $0.01403
Opus 5 $0.00015 $0.00701
Sonnet 5 $0.00006 $0.00281
Haiku 4.5 $0.00003 $0.00140

Measured 7d ago against content hash 65dca687b729, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

building-vulnerability-exception-tracking-system 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 7d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

building-vulnerability-exception-tracking-system/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Vulnerability Exception Tracking System

Overview

A vulnerability exception tracking system manages cases where vulnerabilities cannot be remediated within SLA timelines. It provides structured workflows for requesting exceptions, documenting compensating controls, obtaining risk acceptance approvals, and automatically expiring exceptions when their validity period ends. This ensures organizations maintain visibility into accepted risks while complying with frameworks like PCI DSS, SOC 2, and NIST CSF.

Prerequisites

  • Python 3.9+ with flask, sqlalchemy, requests, jinja2
  • PostgreSQL or SQLite database
  • Email/Slack integration for approval notifications
  • Vulnerability management platform API (DefectDojo, Qualys, Tenable)

Exception Request Workflow

Exception Categories

Category Description Max Duration Approver Level
Remediation Delay Patch available but deployment blocked 30 days Team Lead + Security
No Fix Available Vendor has not released a patch 90 days Security Director
Business Critical System cannot be patched without outage 60 days VP Engineering + CISO
False Positive Finding is not a real vulnerability Permanent Security Analyst
Compensating Control Alternative mitigation in place 180 days Security Architect

Required Fields for Exception Request

exception_schema = {
    "cve_id": "CVE-2024-XXXX",
    "finding_id": "unique-finding-reference",
    "asset_hostname": "prod-db-01.corp.local",
    "severity": "high",
    "cvss_score": 8.1,
    "category": "remediation_delay",
    "justification": "Database upgrade required before patch can be applied",
    "compensating_controls": [
        "WAF rule blocking exploit pattern deployed",
        "Network segmentation restricting access to trusted VLANs only",
        "Enhanced monitoring via Splunk alert for exploitation indicators"
    ],
    "requested_expiration": "2024-06-15",
    "requestor_email": "[email protected]",
    "approver_emails": ["[email protected]", "[email protected]"],
    "risk_rating": "medium",
}

Read the full file on GitHub · 162 lines

Files

What ships with it

7 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.

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. 7d ago First seen · 162 lines · 31 tokens per session scan A 65dca687b729

Subscribe to this mod's changes

building-vulnerability-exception-tracking-system is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,403 once invoked, about $0.0002 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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