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 skills/gentleman-programming/engram/tui-qualitynpx skills add Gentleman-Programming/engram --skill tui-qualitygit clone --depth 1 https://github.com/Gentleman-Programming/engramWrote 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/gentleman-programming/engram/tui-quality)<a href="https://agentmods.dev/skills/gentleman-programming/engram/tui-quality"><img src="https://agentmods.dev/badge/skills/gentleman-programming/engram/tui-quality.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00201 |
| Opus 5 | $0.00017 | $0.00101 |
| Sonnet 5 | $0.00007 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
engram-tui-quality 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 4d 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.
What it actually says
When to Use
Use this skill when:
- Adding screens or menu options
- Changing key bindings or navigation flows
- Updating list rendering and detail views
UX Rules
- Keyboard behavior must be consistent across screens.
- Empty/loading/error states must be explicit and readable.
- Long lists require clear truncation/scroll cues.
- Back navigation should preserve context predictably.
Test Rules
- Add
updatetests for new key transitions. - Add
viewtests for new rendering branches. - Add
modeltests for async commands/data-loading paths.
No TUI behavior change ships without deterministic tests.
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.
- 4d ago First seen · 37 lines · 35 tokens per session scan A 55a0653d1977
engram-tui-quality is a skill published in the GitHub repository Gentleman-Programming/engram (6,302 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 201 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 2026-08-30.
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