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.
git clone --depth 1 https://github.com/sifxprime/kodelyth-eccWrote 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/commands/sifxprime/kodelyth-ecc/dashboard)<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/dashboard"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/dashboard/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/commands/sifxprime/kodelyth-ecc/dashboard"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/dashboard.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00035 | $0.00683 |
| Opus 5.5 | $0.00014 | $0.00273 |
| Sonnet 5.5 | $0.00007 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
dashboard scanned grade A with 2 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
## API endpoints (curl-friendly) Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- `scripts/dashboard/server.js` — HTTP server using only Node built-ins (`http`, `fs`, `path`, `child_process`) How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dashboard
A localhost web UI over every local data source ECC produces. No external dependencies, no telemetry, no network access. Auto-opens your browser.
Usage
/dashboard # default: 127.0.0.1:5747, opens browser
/dashboard --port 8088 # custom port
/dashboard --no-open # don't auto-open browser
/dashboard --host localhost # explicit localhost binding
What you'll see
| Tab | Content |
|---|---|
| Overview | Counts of every shipped asset, captured memories, surfaces, routing misses, pending proposals, swarm sessions, plus token-budget snapshot. |
| Memory | Live BM25 search box + recent captures with tags. |
| Evolve | Top reused memories, top miss clusters, proposals with status pills. |
| Catalog | Searchable browser over every agent / skill / command / rule / bundle. |
| Sessions | Swarm/orchestration sessions with per-worker drill-down. |
Hard rules
- GET-only. No mutation endpoints. The dashboard cannot accept proposals, capture memories, or change any state. Mutations stay in the CLI.
- Localhost-only by default. Refuses to bind
0.0.0.0or remote IPs withoutKODELYTH_DASHBOARD_ALLOW_REMOTE=1(intentionally noisy escape hatch). - No external assets. No CDNs, no Google Fonts. Works fully offline.
- No cache. Always-fresh data on refresh.
- No telemetry. All data stays on this machine.
API endpoints (curl-friendly)
GET /api/health
GET /api/overview
GET /api/memory[?limit=N]
GET /api/memory/search?q=…
GET /api/evolve
GET /api/catalog?kind=skills&q=…
GET /api/sessions
GET /api/sessions/:name
GET /api/token-budget
The frontend is a thin consumer of these. Anything the UI shows you can also pipe through jq.
Companion commands
/memory remember— capture a memory; appears in the Memory tab on next refresh.kodelyth-ecc evolve analyze— generates proposals; they appear in the Evolve tab as pending.kodelyth-ecc evolve accept <id>— write a draft to disk; status pill flips.kodelyth-ecc swarm --task "…"— spawns sessions visible in the Sessions tab.
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 · 68 lines · 35 tokens per session scan A d50f85cad620
dashboard is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 12d ago), licensed MIT. It adds 35 tokens to every session and 683 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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