openfdd-mt-security

openfdd-mt-security is a skill for Claude Code, Codex from bbartling/open-fdd. It costs 70 tokens per session (2,226 once invoked), scanned A, original, no licence file.

A security guide for multi-tenant systems, where one application serves several separate customers. It covers authorization, preventing information leaks before login, browser policy settings, device access rules, and security findings.

In plain words
What is it for?
Use it to review tenant and administrator permissions, agent tokens, API exposure, and MQTT ACLs. It can also help interpret ZAP findings and other security checks.
Why use it?
It helps check that one tenant cannot access another tenant’s data or capabilities and that unauthenticated endpoints do not reveal sensitive details. It also addresses common controls such as CSP, security.txt, IDOR, and MQTT access rules.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to review tenant and administrator permissions, agent tokens, API exposure, and MQTT ACLs. It can also help interpret ZAP findings and other security checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bbartling/open-fdd/openfdd-mt-security
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 bbartling/open-fdd --skill openfdd-mt-security
Clone the repo
git clone --depth 1 https://github.com/bbartling/open-fdd

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 openfdd-mt-security

README.md
[![agentmods](https://agentmods.dev/badge/skills/bbartling/open-fdd/openfdd-mt-security/github.svg)](https://agentmods.dev/skills/bbartling/open-fdd/openfdd-mt-security)
Your own site
<a href="https://agentmods.dev/skills/bbartling/open-fdd/openfdd-mt-security"><img src="https://agentmods.dev/badge/skills/bbartling/open-fdd/openfdd-mt-security/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 openfdd-mt-security

Your own site · 80×15
<a href="https://agentmods.dev/skills/bbartling/open-fdd/openfdd-mt-security"><img src="https://agentmods.dev/badge/skills/bbartling/open-fdd/openfdd-mt-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,226 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 unknown 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 $0.00070 $0.02226
Opus 5.5 $0.00028 $0.00890
Sonnet 5.5 $0.00014 $0.00445
Haiku 4.5 $0.00007 $0.00223

Measured 13d ago against content hash 72aeb1766f70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openfdd-mt-security 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 13d 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.

openfdd_agent_spec/skills/openfdd-mt-security/SKILL.md · 138 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 13d ago Changed · +32 lines 72aeb1766f70
  2. 18d ago Changed · +13 lines 5a468ae99fbe
  3. 21d ago Changed · +9 lines dfffcbbff6b4
  4. 26d ago Changed · +6 lines 6e4cbd9f1f70
  5. 29d ago Changed · +17 lines 2bc271eeefa7
  6. 1mo ago First seen · 61 lines · 70 tokens per session scan A 3eaf66108851

Subscribe to this mod's changes

openfdd-mt-security is a skill published in the GitHub repository bbartling/open-fdd (174 stars, last pushed yesterday), with no licence file. It adds 70 tokens to every session and 2,226 once invoked, about $0.0003 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 2026-09-16.

Related

Other skills, from other repositories

pm-feature-design

JIT Design by Feature - Phase 6 skill. Just-In-Time technical design for a single feature before it enters build. Enriches the 4 live registers with guard conditions and finalized rules, generates a Mermaid.js sequence diagram, writes Acceptance Criteria, and completes Feature Card Sections 1-3. Replaces upfront…

ljucask/pureinn-product-development · 99 tokens

pm-features-list

Generate the complete Features List in FDD format, organized by Domain > Feature Set (grouping label) > Feature. Runs Dependency Map, KANO Analysis, and Value vs. Complexity Matrix. Creates stub Feature Cards in /features/cards/ for each feature. After user approval, pushes features to Notion as the initial backlog.…

ljucask/pureinn-product-development · 98 tokens

pm-prototype

Cross-phase prototyping engine. Takes a scoped chunk of the product (a feature, a PRD initiative, the whole product, or any slice) and gets a prototype of it built by one of two paths - compiled as a tool-ready spec for an external tool (Lovable, v0/Vercel, Base44, Figma Make), or built in-repo by a coding agent…

ljucask/pureinn-product-development · 0 tokens

pm-reconcile

Rebuild playbook for an existing product onboarded to Pureinn. Reconciles the actual codebase against a folder of legacy documents (BRD, FSD, domain/entity models, business rules) that may contain logical, semantic and structural inconsistencies. Runs in two phases - first PLAN (inspect docs + code, define which areas…

ljucask/pureinn-product-development · 262 tokens

pm-audit

Health check for an existing Pureinn workspace. Scans the framework's own artifacts - the 5 Live Registers (including the Open Questions Register), Feature Cards, roadmap, glossary, state.json - against the current Pureinn conventions, finds inconsistencies, drift, and errors, then fixes the mechanical ones and asks…

ljucask/pureinn-product-development · 0 tokens

pm-hypotheses

Structure validation hypotheses, design low-cost experiments, track results, and produce a Go/No-Go decision. Runs in Phase 3a: Plan mode structures hypotheses and experiments, Results mode records outcomes and issues the Go/No-Go verdict (hard gate before Phase 3b). Based on a 5-stage SaaS validation framework.

ljucask/pureinn-product-development · 0 tokens