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 rhtevan/agentfs --skill goose-skupper-providergit clone --depth 1 https://github.com/rhtevan/agentfsWrote 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/rhtevan/agentfs/goose-skupper-provider)<a href="https://agentmods.dev/skills/rhtevan/agentfs/goose-skupper-provider"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-skupper-provider/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/rhtevan/agentfs/goose-skupper-provider"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-skupper-provider.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00032 | $0.01834 |
| Opus 5 | $0.00016 | $0.00917 |
| Sonnet 5 | $0.00006 | $0.00367 |
| Haiku 4.5 | $0.00003 | $0.00183 |
Grade C, and why
goose-skupper-provider scanned grade C 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 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
| T8 | S6 | `MODEL_ID='"};rm -rf /;{"' PORT=9000 CTX=131072 bash setup.sh --test-inject` | Validation fails, backup restored, no file damage | How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goose Skupper Provider
Configure Goose (CLI and Desktop) to use a remote GPU-hosted LLM
model as a custom provider named Skupper. The model is served
through a Skupper V2 Virtual Application Network managed by
skupper-model-provider, which exposes remote GPU hosts (rhel-ai,
rhtevan-work) as local endpoints on localhost:9000 and
localhost:10000. Use this skill after the VAN is running
(skupper model up) to wire Goose to the self-hosted model
instead of a cloud provider.
Host-Based Routing
Skupper routes by host:port. The active model is determined by
hosted-model-ctl (profile-based mutual exclusion). The setup
script discovers the model identity from the live API — no
static alias mapping.
| Host | Port | Default Profile | Routing Key |
|---|---|---|---|
| rhel-ai | 9000 | g8b-fp8-spec-128k |
model-api-rhel-ai |
| rhtevan-work | 10000 | g3b-16k |
model-api-rhtevan-work |
The script accepts host names (rhel-ai) or profile names
(g8b-fp8-spec-128k) — profile names are resolved to their host.
Default target: rhel-ai.
Poison-JSON Safeguard
⚠️ Goose Desktop loads ALL JSON files in
~/.config/goose/custom_providers/. One malformed file breaks ALL providers — not just the broken one.The
setup.shscript enforces three layers of defense:
- Python
json.dumps— writes JSON programmatically (never bash heredoc interpolation)- Round-trip validation — parses the output back and checks all 22 required fields before writing to disk
- Post-write validation — reads the file from disk and validates independently; restores backup on any failure
NEVER write this JSON manually. Always use
setup.sh.
Specification
| ID | Capability | Verifiable By |
|---|---|---|
| S1 | Setup provider for a host or profile | scripts/setup.sh HOST_OR_PROFILE → JSON + config.yaml updated |
| S2 | Teardown provider | scripts/teardown.sh → JSON + config.yaml cleaned |
| S3 | Recreate provider (teardown + setup) | teardown.sh then setup.sh HOST_OR_PROFILE |
| S4 | Verify provider configuration | scripts/test.sh → 6 checks pass |
| S5 | API-driven model discovery | setup.sh queries /v1/models for model ID + context |
| S6 | Poison-JSON prevention | setup.sh validates JSON pre- and post-write; restores backup on failure |
What ships with it
5 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.
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 · 161 lines · 32 tokens per session scan C 97f14788076d
goose-skupper-provider is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 1,834 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…