Engram is a local or cloud-backed memory system for AI coding agents, provided as a single Go binary with SQLite full-text search and interfaces including a command line, HTTP API, MCP server, and terminal UI. It helps compatible coding agents retain project decisions, bugs, conventions, and other useful context across sessions. The catalogue add-ons configure and operate Engram’s memory workflows.
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 Gentleman-Programming/engram --skill visual-languagegit 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/visual-language)<a href="https://agentmods.dev/skills/gentleman-programming/engram/visual-language"><img src="https://agentmods.dev/badge/skills/gentleman-programming/engram/visual-language/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/gentleman-programming/engram/visual-language"><img src="https://agentmods.dev/badge/skills/gentleman-programming/engram/visual-language.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00228 |
| Opus 5.5 | $0.00012 | $0.00091 |
| Sonnet 5.5 | $0.00006 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
engram-visual-language 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.
What it actually says
When to Use
Use this skill when:
- Editing
styles.css - Creating new dashboard sections or states
- Refining layout, spacing, typography, or color use
Visual Rules
- The dashboard must feel like Engram, not a generic SaaS admin.
- Prefer strong hierarchy, fewer containers, and clearer breathing room.
- Use the TUI-inspired palette and mono/display accents intentionally.
- Format machine timestamps and raw identifiers into human-scannable UI.
- Decorative framing must never make content harder to read.
Density Rules
- Avoid box-inside-box repetition unless it clarifies information grouping.
- Important text must never touch borders or feel cramped.
- Metrics should read instantly.
- Tables should stay clean, aligned, and visually quieter than hero areas.
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 · 37 lines · 29 tokens per session scan A a6d1e7759245
engram-visual-language is a skill published in the GitHub repository Gentleman-Programming/engram (7,360 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 228 once invoked, about $0.0001 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 2026-08-30.
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