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 ParendumOU/Nexora --skill platform_managementgit clone --depth 1 https://github.com/ParendumOU/NexoraWrote 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/parendumou/nexora/platform_management)<a href="https://agentmods.dev/skills/parendumou/nexora/platform_management"><img src="https://agentmods.dev/badge/skills/parendumou/nexora/platform_management.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 31 Potential security issue detected. Manual review is recommended.Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00000 | $0.00686 |
| Opus 5 | $0.00000 | $0.00343 |
| Sonnet 5 | $0.00000 | $0.00137 |
| Haiku 4.5 | $0.00000 | $0.00069 |
Grade A, and why
platform_management 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 8d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Management
Services
| Service | Filter | Role |
|---|---|---|
backend |
name=backend |
FastAPI API |
frontend |
name=frontend |
Next.js UI |
nginx |
name=nginx |
Reverse proxy |
postgres |
name=postgres |
PostgreSQL |
redis |
name=redis |
Cache/pub-sub |
File paths (backend container)
| Path | Contents |
|---|---|
/app |
Backend source root |
/app/src/api/routers/ |
Route handlers |
/app/src/models/ |
SQLAlchemy models |
/app/src/skills_data/ |
Skill seeds |
/app/src/main.py |
Entry point |
/workspace-root/AgenticChats/frontend/ |
Frontend root |
/workspace-root/AgenticChats/frontend/src/app/ |
Next.js routes |
/workspace-root/AgenticChats/frontend/src/components/ |
React components |
/workspace-root/AgenticChats/frontend/src/lib/api.ts |
API client |
/workspace-root = volume mount of parent dir.
Restart services
Docker socket at /var/run/docker.sock. Use shell_run.
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
# frontend — safe
docker ps --filter "name=frontend" --format "{{.Names}}" | xargs docker restart
# nginx — brief drop
docker ps --filter "name=nginx" --format "{{.Names}}" | xargs docker restart
# backend — drops all WebSocket sessions. Confirm with user first.
docker ps --filter "name=backend" --format "{{.Names}}" | xargs docker restart
Hot-reload
- Backend (dev): Uvicorn
--reload. Any.pysave under/app/src/→ auto-reload ~1s. - Frontend (dev): Next.js HMR. Any
.tsx/.ts/.csssave → instant refresh. - Production: Restart required after edits.
Logs
docker ps --filter "name=backend" --format "{{.Names}}" | xargs -I{} docker logs --tail 100 {}
docker ps --filter "name=frontend" --format "{{.Names}}" | xargs -I{} docker logs --tail 100 {}
docker ps --filter "name=nginx" --format "{{.Names}}" | xargs -I{} docker logs --tail 20 --follow {}
DB inspection
PGPASSWORD=$POSTGRES_PASSWORD psql -h postgres -U $POSTGRES_USER -d $POSTGRES_DB \
-c "SELECT id, name, slug FROM organizations ORDER BY created_at;"
What ships with it
1 file 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.
- 8d ago First seen · 75 lines · 0 tokens per session scan A 8bcc01e8c2d1
platform_management is a skill published in the GitHub repository ParendumOU/Nexora (20 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 686 tokens. 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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