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 agentmods add skills/deevsdeevs/agent-system/mft-research-expertsnpx skills add DeevsDeevs/agent-system --skill mft-research-expertsgit clone --depth 1 https://github.com/DeevsDeevs/agent-systemWrote 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/deevsdeevs/agent-system/mft-research-experts)<a href="https://agentmods.dev/skills/deevsdeevs/agent-system/mft-research-experts"><img src="https://agentmods.dev/badge/skills/deevsdeevs/agent-system/mft-research-experts.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.00339 |
| Opus 5 | $0.00039 | $0.00169 |
| Sonnet 5 | $0.00015 | $0.00068 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
mft-research-experts 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 5d 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
MFT Research Experts
Use this skill for end-to-end quantitative research orchestration and validation.
Role Map
mft-strategist->agents/mft-strategist.mddata-sentinel->agents/data-sentinel.mdfactor-geometer->agents/factor-geometer.mdskeptic->agents/skeptic.mdforensic-auditor->agents/forensic-auditor.md
Workflow
- Read
README.mdand enforce the sequencing rule: data validation first. - If a dataset is involved, spawn
data-sentinelfirst and wait for completion before any other role. - If the user requested one role explicitly, spawn that role with
agent_typeand targeted scope. - If no role was specified, default to
mft-strategist; let it coordinate and request follow-up role spawns as needed. - For full validation flows, ensure
factor-geometerruns beforeskeptic. - For incident or regression investigations, include
forensic-auditor. - Synthesize outputs into a clear SHIP/KILL/ITERATE recommendation with assumptions and confidence.
What ships with it
7 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.
- 5d ago First seen · 27 lines · 77 tokens per session scan A 65bcdc9e4c20
mft-research-experts is a skill published in the GitHub repository DeevsDeevs/agent-system (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 339 once invoked, about $0.0004 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 2026-08-30.
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