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 dashboard-htmxgit 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/dashboard-htmx)<a href="https://agentmods.dev/skills/gentleman-programming/engram/dashboard-htmx"><img src="https://agentmods.dev/badge/skills/gentleman-programming/engram/dashboard-htmx/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/dashboard-htmx"><img src="https://agentmods.dev/badge/skills/gentleman-programming/engram/dashboard-htmx.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 | $0.00041 | $0.00264 |
| Opus 5.5 | $0.00016 | $0.00106 |
| Sonnet 5.5 | $0.00008 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
engram-dashboard-htmx 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:
- Adding htmx partial loading or filter controls
- Wiring forms or toggles in the dashboard
- Changing browser/search interactions
HTMX Rules
- Server-rendered HTML is the product; htmx enhances it, it does not replace it.
- Prefer simple
hx-getandhx-includeover custom client-side state. - Filters must preserve the active state users would expect across interactions.
- Forms that mutate system state must still work as normal HTTP posts.
- Partial endpoints return meaningful HTML on their own, not fragments that depend on hidden JS assumptions.
Interaction Rules
- Search and filter controls must compose cleanly.
- Toggle actions must visibly reflect the resulting server state.
- Connected navigation should keep URLs meaningful and shareable.
- Use htmx for speed, not to hide business logic in the browser.
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 · 41 tokens per session scan A 016da8bfb01b
engram-dashboard-htmx is a skill published in the GitHub repository Gentleman-Programming/engram (7,655 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 264 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 2026-08-30.
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