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 AlirezaSoltaniJazi/Skillnir --skill modelregistrygit clone --depth 1 https://github.com/AlirezaSoltaniJazi/SkillnirWrote 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/alirezasoltanijazi/skillnir/modelregistry)<a href="https://agentmods.dev/skills/alirezasoltanijazi/skillnir/modelregistry"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/modelregistry/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/alirezasoltanijazi/skillnir/modelregistry"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/modelregistry.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 | $0.00140 | $0.02330 |
| Opus 5.5 | $0.00056 | $0.00932 |
| Sonnet 5.5 | $0.00028 | $0.00466 |
| Haiku 4.5 | $0.00014 | $0.00233 |
Grade A, and why
modelRegistry 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 1mo 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before You Start
Read LEARNED.md first. It records which sources were reachable, account/tier limits found on this machine, and past corrections. Entries there override defaults here.
Announce skill usage. Say "Using: modelRegistry skill" at the very start of your response before doing any work.
Never answer model questions from memory. Model IDs are exact strings and the lineup changes often; a remembered ID is how a broken model reaches the picker. Always check a live source first — see model-sources.md.
When to Use
- Checking whether the model selection list is still current
- Adding a newly released model, or retiring one
- Fixing a wrong/missing model ID, alias, tier, or default
- Reviewing or updating the CLI install / login / verify hints
- Auditing that the picker, CLI, and tests all agree
Do NOT Use
- Changing which model a run uses right now — that's the Settings page or the Switch Model dialog, not a code change.
- Adding a new skill scope or prompt template — use skillnir (different registry, different file).
- Backend behavior (effort, thinking, subprocess flags) — use backendEngineer; this skill owns the catalog data, not the execution path.
What This Skill Owns
| Concern | File |
|---|---|
| Model selection list (all 4 backends) | src/skillnir/backends.py → BACKENDS[...].models |
| Default model + alias resolution | src/skillnir/backends.py → default_model, resolve_model_id() |
| CLI install / login / verify hints | src/skillnir/ui/components/welcome_dialog.py → _CLI_SETUP_INFO |
| Alias + catalog invariants (tests) | tests/test_backends.py |
What ships with it
9 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.
- INJECT.md 595 B
- LEARNED.md 3.7 KB
- references/ai-interaction-guide.md 2.6 KB
- references/alias-conventions.md 3.3 KB
- references/backends-registry-guide.md 2.9 KB
- references/common-issues.md 3.0 KB
- references/install-hints-guide.md 4.3 KB
- references/model-sources.md 3.7 KB
- scripts/validate-model-registry.sh 2.4 KB runs code
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.
- 1mo ago First seen · 154 lines · 140 tokens per session scan A fd625726b40a
modelRegistry is a skill published in the GitHub repository AlirezaSoltaniJazi/Skillnir (9 stars, last pushed 12d ago), licensed MIT. It adds 140 tokens to every session and 2,330 once invoked, about $0.0006 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 2026-09-20.
modelRegistry compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| modelRegistryAlirezaSoltaniJazi/Skillnir | Skill | 9 | 12d ago | MIT | A | 140 | Claude Code |
| agent-platform-model-registrygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 65 | Claude Code, Codex |
| google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 132 | Claude Code, Codex |
| training-checkwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 35 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| finetuningmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 132 | Claude Code |