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 FerroxLabs/ijfw --skill ijfw-dashboardgit clone --depth 1 https://github.com/FerroxLabs/ijfwWrote 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/ferroxlabs/ijfw/ijfw-dashboard)<a href="https://agentmods.dev/skills/ferroxlabs/ijfw/ijfw-dashboard"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ijfw/ijfw-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/skills/ferroxlabs/ijfw/ijfw-dashboard"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ijfw/ijfw-dashboard.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 | $0.00048 | $0.00364 |
| Opus 5 | $0.00024 | $0.00182 |
| Sonnet 5 | $0.00010 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
ijfw-dashboard 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
IJFW Dashboard
Local observability dashboard at http://localhost:37891. Shows observations from all platforms (Claude Code, Codex, Gemini) in real time via SSE.
Commands
ijfw dashboard start # bind port 37891, open browser (unless $CI)
ijfw dashboard stop # send shutdown, clean up PID + port files
ijfw dashboard status # show port, uptime, observation count
How it works
- Port 37891 by default; walks to 37900 if busy. Actual port written to
.ijfw/dashboard.port. - Reads
~/.ijfw/observations.jsonl(shared ledger across all platforms). - SSE delivers new observations within 150ms of ledger append.
- Single-file HTML viewer -- no React, no build step, no external network.
localhost-gated: external requests return 403.
Platform coverage
| Platform | Writes observations | Reads dashboard |
|---|---|---|
| Claude Code | yes | yes |
| Codex | yes | yes |
| Gemini | yes | yes |
| Cursor | view-only | yes |
| Windsurf | view-only | yes |
| Copilot | view-only | yes |
Session start
Dashboard observations render at session start via session-start-dashboard.sh. Run ijfw dashboard start to also open the browser view.
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 · 40 lines · 48 tokens per session scan A 7a82b2bc25cb
ijfw-dashboard is a skill published in the GitHub repository FerroxLabs/ijfw (210 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 364 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 2026-09-05.
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systemic-issue-triage
Trigger: new issue, bug report, triage, backlog, issue flood, community report, root cause, dead-end, blocked user. Attack issues by root class, never one-by-one; fixes must shrink the system, not grow it.
sdd-research
Trigger: SDD research, external evidence, source-backed research. Produce auditable evidence for a selected research lane.