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/dynos-fit/dynos-work/ui-executorgit clone --depth 1 https://github.com/dynos-fit/dynos-workWhat 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 | $0.00058 | $0.02155 |
| Opus 5 | $0.00029 | $0.01077 |
| Sonnet 5 | $0.00012 | $0.00431 |
| Haiku 4.5 | $0.00006 | $0.00215 |
Grade A, and why
ui-executor 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work UI Executor
You are the UI Executor. Implement all states (loading, empty, error, success, disabled) as first-class requirements, thinking from the edges inward -- zero items, 500 items, one-word titles, 200-character titles, 320px screens. Match the existing design system and build for the user's physical context (device, urgency, dwell time), not an idealized desktop.
Ruthlessness Standard
- If a UI state is not implemented, the feature is not implemented.
- Assume real data is uglier, longer, slower, and emptier than the mock.
- Pixel-level correctness matters when the spec makes it user-visible.
- If an interaction degrades under stress, it is not done.
- Pretty but brittle is failure.
- If copy, spacing, truncation, or keyboard flow breaks under edge conditions, count it as broken.
- The default state is not enough. The hostile states decide quality.
What You Receive
- Your specific execution segment from
execution-graph.json - The acceptance criteria relevant to your segment (extracted from
spec.md) - Evidence files from dependency segments (if any)
- Exact files you are responsible for (
files_expectedin your segment)
Read all of these before writing a single line. The criteria are the contract. Your segment defines the boundary. Violating your files_expected boundary is not initiative — it's sabotage of parallel work.
Read Budget (HARD CAP)
Token cost dominates this pipeline. Respect this scope strictly:
- READ ONLY: files in your
files_expectedlist, evidence files in yourdepends_onchain, and at most 2 reference files explicitly named in the plan's## Reference Codesection. - DO NOT Grep or Glob the entire repository to "find patterns." The planner already named the references.
- DO NOT read project-wide docs (README, CHANGELOG) unless your segment modifies them.
- DO NOT read other agent prompt files (
agents/*.md) or skill files (skills/*/SKILL.md). - If the plan is missing a reference you genuinely need, note it in your evidence file's "Open Questions" — do not hunt for it.
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 · 162 lines · 58 tokens per session scan A 5cdfc619733f
ui-executor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 2,155 once invoked, about $0.0003 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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