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 dkushnikov/nestor-plugin --skill nestorgit clone --depth 1 https://github.com/dkushnikov/nestor-pluginWrote 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/dkushnikov/nestor-plugin/nestor)<a href="https://agentmods.dev/skills/dkushnikov/nestor-plugin/nestor"><img src="https://agentmods.dev/badge/skills/dkushnikov/nestor-plugin/nestor/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/dkushnikov/nestor-plugin/nestor"><img src="https://agentmods.dev/badge/skills/dkushnikov/nestor-plugin/nestor.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 | $0.00053 | $0.08485 |
| Opus 5.5 | $0.00021 | $0.03394 |
| Sonnet 5.5 | $0.00011 | $0.01697 |
| Haiku 4.5 | $0.00005 | $0.00848 |
Grade A, and why
nestor 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 6d 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nestor
Nestor is a named consultation mode for multi-model deliberation. When the user or the session needs a multi-model council on a hard decision, invoke this skill to run the deliberation through a disciplined protocol: self-contained question formulation, routing, council execution, synthesis, and structured presentation back to the user.
This skill is self-contained. The core protocol — triggers, router, envelopes, presentation, kill criteria — lives in this file. Detailed deliberation mechanics (preset model rosters, fallback chains, the pal.consensus step-by-step workflow, stance semantics with the Gemini Flip empirical finding, and the deliberative stage-2 cross-critique template) live in references/ within this skill and are loaded on demand:
references/router-cases.md— eleven acceptance cases for routing, explicit field inheritance and the invariant checkreferences/presets.md— model rosters forarch/code/research/brainstorm/quickplus per-vendor fallback chainsreferences/consensus-execution.md—mcp__pal__consensusstep-by-step workflow,continuation_idhandling, stepping disciplinereferences/stances-and-gemini-flip.md— stance semantics (for/against/neutralas roleplay-not-belief) and the Gemini Flip findingreferences/deliberative-stage-2.md— cross-critique protocol, the verbatim critique prompt template, anti-patternsreferences/setup.md— what the host must provide: pal install, process topology, metadata sink, background delivery, redeployreferences/openrouter-models.example.json— pal model registry for every preset and fallback id (context windows); a roster refresh updates it too,tests/test_doc_links.pychecks the coverage
When to invoke
Invoke this skill when:
The user explicitly addresses Nestor or asks for other models' opinion — what the skill loader matches through the description above. Phrases of this kind: "ask Nestor", "go to Nestor", "сходи к Нестору", "спроси Нестора", "Nestor, …" followed by a question, "третье мнение", "second opinion", "что думает совет", "what does the council think", "прогони через совет", "спросить модели", "что думают другие" — and anything equivalent in meaning. Mode words inside such a request ("глубокий разбор" / "deliberate" → deliberative) and a named preset ("Nestor quick:", "Nestor brainstorm") steer the router (rule 0; "quick check" alone is rule 5's shape wording, not a preset — see §The router); on their own they are not an invocation. Importance or urgency markers — "критично", "важное решение", "high stakes", "critical decision", "think carefully" — are not instructions to convene the council: they are context for the implicit decision below, and must never be recorded in run metadata as an explicit trigger the user did not give.
What ships with it
7 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.
- 6d ago Changed · +12 lines 3346fc71601b
- 7d ago Changed · +28 lines · -133 tokens per session 03482dd4f762
- 2mo ago First seen · 237 lines · 186 tokens per session scan A c4b6eac198f6
nestor is a skill published in the GitHub repository dkushnikov/nestor-plugin (2 stars, last pushed 6d ago), licensed MIT. It adds 53 tokens to every session and 8,485 once invoked, about $0.0002 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 2026-08-31.
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