Borrowing it
Nothing to install: this file belongs to ibuilder/massing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ibuilder/massing/main/.claude/skills/security-monitoring/SKILL.mdgit clone --depth 1 https://github.com/ibuilder/massingWrote 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/ibuilder/massing/security-monitoring)<a href="https://agentmods.dev/skills/ibuilder/massing/security-monitoring"><img src="https://agentmods.dev/badge/skills/ibuilder/massing/security-monitoring/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/ibuilder/massing/security-monitoring"><img src="https://agentmods.dev/badge/skills/ibuilder/massing/security-monitoring.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 | $0.00065 | $0.01809 |
| Opus 5 | $0.00032 | $0.00905 |
| Sonnet 5 | $0.00013 | $0.00362 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
security-monitoring 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security monitoring — Massing
Standing directions for this repo: docs/roadmap-directions.md. Read those first.
Standing directive: check CodeQL after every push and fix any HIGH that appears.
CodeQL — check ALERTS, not run status
A "CodeQL Advanced" workflow run showing completed success only means the scan executed — it does NOT mean zero alerts. Alerts live in the code-scanning API:
gh api repos/ibuilder/massing/code-scanning/alerts --jq '[.[] | select(.state=="open")] | length'
gh api "repos/ibuilder/massing/code-scanning/alerts?state=open&per_page=30" \
--jq '.[] | "\(.rule.security_severity_level // .rule.severity) | \(.rule.id) | \(.most_recent_instance.location.path):\(.most_recent_instance.location.start_line)"'
After pushing a fix, wait for the next CodeQL run to re-scan, then re-query — the count drops when alerts auto-close.
Common fixes
py/polynomial-redos(ReDoS): a free-text scanner using unbounded\d+/[\d,]+/\s*underre.searchre-scans → polynomial on a crafted long string. Fix: bound the quantifiers ({1,n}not+/*) and cap the input (text[:20_000]) before the regex. Verify detection still works on real inputs + a 100k-char crafted input returns in <100 ms.- XXE: parse untrusted XML with
defusedxml.ElementTree.fromstring(catchET.ParseError+defusedxml.common.DefusedXmlException→ return empty). Never barexml.etree. - Weak-hash flags (
py/weak-sensitive-data-hashing, bandit B324): SHA-1/MD5 used for non-crypto identity/cache keys → addusedforsecurity=False.
Local audits (run before a hardening release)
cd apps/web && npm audit --omit=dev
cd services/api && ./.venv/Scripts/python.exe -m bandit -r src ../data/src -ll -ii # HIGH+MED, high-confidence
cd services/api && ./.venv/Scripts/python.exe -m pip_audit --progress-spinner off # pip install pip-audit first
# secret scan (no gitleaks): grep the source tree for high-signal patterns, exclude node_modules/venv/tests
Pin CVE'd transitive deps in services/data/requirements.txt (e.g. pillow>=12.3.0).
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 First seen · 82 lines · 65 tokens per session scan A 891dea3ff397
security-monitoring is a skill published in the GitHub repository ibuilder/massing (136 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 1,809 once invoked, about $0.0003 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 2026-08-30.
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