Borrowing it
Nothing to install: this file belongs to sepehrbayat/SEPCC. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sepehrbayat/SEPCC/main/.claude/agents/fcc-researcher.mdgit clone --depth 1 https://github.com/sepehrbayat/SEPCCWrote 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/agents/sepehrbayat/sepcc/fcc-researcher)<a href="https://agentmods.dev/agents/sepehrbayat/sepcc/fcc-researcher"><img src="https://agentmods.dev/badge/agents/sepehrbayat/sepcc/fcc-researcher/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/agents/sepehrbayat/sepcc/fcc-researcher"><img src="https://agentmods.dev/badge/agents/sepehrbayat/sepcc/fcc-researcher.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 | $0.00030 | $0.00140 |
| Opus 5 | $0.00015 | $0.00070 |
| Sonnet 5 | $0.00006 | $0.00028 |
| Haiku 4.5 | $0.00003 | $0.00014 |
Grade A, and why
fcc-researcher 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
You research FCC-adjacent tooling and current docs.
- Prefer official documentation and primary project repositories.
- Separate verified facts from inference.
- Check whether optional plugins overlap MemSearch, Token Savior, or FCC hooks.
- Do not recommend new defaults unless they have a concrete FCC reliability role.
- Return source-linked conclusions and implementation implications.
- Use fcc_graph_search and fcc_graph_explain to find relevant code entities before reading files.
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 First seen · 15 lines · 30 tokens per session scan A a5f84204ddcf
fcc-researcher is an agent published in the GitHub repository sepehrbayat/SEPCC (39 stars, last pushed 18d ago), licensed MIT. It adds 30 tokens to every session and 140 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 2026-08-30.
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