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 redhat-community-ai-tools/UnifAI --skill backendgit clone --depth 1 https://github.com/redhat-community-ai-tools/UnifAIWrote 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/redhat-community-ai-tools/unifai/backend)<a href="https://agentmods.dev/skills/redhat-community-ai-tools/unifai/backend"><img src="https://agentmods.dev/badge/skills/redhat-community-ai-tools/unifai/backend/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/redhat-community-ai-tools/unifai/backend"><img src="https://agentmods.dev/badge/skills/redhat-community-ai-tools/unifai/backend.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 | $0.00031 | $0.01451 |
| Opus 5 | $0.00015 | $0.00726 |
| Sonnet 5 | $0.00006 | $0.00290 |
| Haiku 4.5 | $0.00003 | $0.00145 |
Grade A, and why
backend-knowledge scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `ActionDispatcher` with direct `requests.post()` — no port ABC | `admin_config/action_dispatcher.py` | Single outbound integration (RAG only); port abstraction for one consumer is over-engineering | How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Knowledge System
Admin configuration service. Stores platform-wide settings in MongoDB, serves merged config (template defaults + saved overrides), and dispatches side-effects on update.
Component Routing
| Path prefix | Component | Description |
|---|---|---|
admin_config/service.py |
Admin Config Service | Merge template + DB; validate/update; optional dispatch |
admin_config/repository/ |
Persistence | AdminConfigRepository (ABC) + MongoAdminConfigRepository |
admin_config/models.py |
Domain Models | AdminConfigTemplate, AdminConfigEntry, AdminConfigResponse |
admin_config/template.py |
Template | Config section definitions (categories → sections → fields) |
admin_config/action_dispatcher.py |
Action Dispatcher | HTTP POST to target services after config save |
api/flask/endpoints/ |
API Layer | Flask blueprints: admin_config, health |
core/app_container.py |
Bootstrap | Singleton DI: MongoClient, repos, dispatcher, service |
config/app_config.py |
Config | AppConfig(SharedConfig) with Mongo names, admin_users |
run/ |
Entry Points | dev.py, wsgi.py |
Landmarks
| Landmark | Location |
|---|---|
| Composition root | backend/core/app_container.py |
| Flask factory | backend/api/flask/flask_app.py |
| App config | backend/config/app_config.py |
| Endpoint registration | backend/api/flask/endpoints/__init__.py |
| Admin config domain | backend/admin_config/ |
Key Classes
| Class | File | Role |
|---|---|---|
AppContainer |
core/app_container.py |
Singleton DI: MongoClient, repos, ActionDispatcher, AdminConfigService |
AdminConfigService |
admin_config/service.py |
Merge template + DB; validate/update sections; optional dispatch |
ActionDispatcher |
admin_config/action_dispatcher.py |
POST to target services after config save |
AdminConfigRepository (ABC) |
admin_config/repository/repository.py |
Port: get(key)/set(entry) |
MongoAdminConfigRepository |
admin_config/repository/mongo_repository.py |
Mongo adapter, unique index on key |
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.
- 10d ago First seen · 132 lines · 31 tokens per session scan A 7f8d1b7c738c
backend-knowledge is a skill published in the GitHub repository redhat-community-ai-tools/UnifAI (44 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 1,451 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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