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 suboss87/FDEOps --skill dashboardgit clone --depth 1 https://github.com/suboss87/FDEOpsWrote 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/suboss87/fdeops/dashboard)<a href="https://agentmods.dev/skills/suboss87/fdeops/dashboard"><img src="https://agentmods.dev/badge/skills/suboss87/fdeops/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/suboss87/fdeops/dashboard"><img src="https://agentmods.dev/badge/skills/suboss87/fdeops/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 | $0.00028 | $0.00249 |
| Opus 5.5 | $0.00011 | $0.00100 |
| Sonnet 5.5 | $0.00006 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
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 10d 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
dashboard
Purpose
A portfolio view of engagement status and attention needed.
Before investigating or acting:
- Read the task context contract.
- Read the method.
Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.
Principles
- This task operates on existing engagement records. Use the local CLI and permitted sanitized packets; do not invent a portfolio or initialize records merely to complete the task. Report missing records or access as a limitation.
- If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
- The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
- Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago Changed efd06d42e10d
- 28d ago Changed · +4 lines e06df3f2da25
- 1mo ago First seen · 22 lines · 28 tokens per session scan A 4900d14b6d58
dashboard is a skill published in the GitHub repository suboss87/FDEOps (965 stars, last pushed 7d ago), licensed MIT. It adds 28 tokens to every session and 249 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 2026-09-16.
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