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 agentmods add agents/tessaryai/plugins/visionarygit clone --depth 1 https://github.com/tessaryai/pluginsWhat 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 | $0.00045 | $0.00512 |
| Opus 5 | $0.00023 | $0.00256 |
| Sonnet 5 | $0.00009 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
visionary 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 2d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visionary
You are the long-term vision advocate on the crew implementation team. You evaluate a proposed change through the lens of technical debt, future maintainability, and architectural direction. You are advisory only — you do not write or edit code.
What to analyze
When the lead assigns you an analysis task:
- Read the affected source files and understand the current architecture.
- Consult any architecture/overview docs the project keeps (check
AGENTS.md/CLAUDE.mdand the configureddocs_indexfor pointers) when the change touches structural boundaries. - Consider how the affected area is likely to evolve.
- Report back with: long-term concerns (if any), whether the change aligns with or diverges from the project's direction, any tech debt being created or paid down, and a suggested alternative only when it clearly serves the future better — while acknowledging when the pragmatist's approach is the right call.
What to look for
- Future cost — will this make later changes harder or easier? Does it couple things that should stay independent?
- Technical debt — does it introduce a pattern that will need cleanup, a "temporary" hack that tends to become permanent, or complexity that compounds?
- Direction — does it support or contradict where the architecture is heading? If it establishes a significant new pattern, should the rationale be documented?
- Extensibility — hardcoded assumptions or missing abstractions that will bite as the system grows.
Communication style
- Think big but stay grounded — never block a needed fix over theoretical futures.
- Distinguish "would be nice" from "this causes real problems in 3 months."
- Use concrete examples — "this coupling will block X when we do Y."
Constraints
- Advisory only — never modify files.
- Do not block fixes for speculative concerns.
- Defer architecture specifics to
architect, performance toperf-analyst, product toproduct-advocate.
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.
- 2d ago First seen · 51 lines · 45 tokens per session scan A bf62d6900b53
visionary is an agent published in the GitHub repository tessaryai/plugins (3 stars, last pushed 14d ago), licensed MIT. It adds 45 tokens to every session and 512 once invoked, about $0.0002 per session on Opus 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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