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-context-auditor.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-context-auditor)<a href="https://agentmods.dev/agents/sepehrbayat/sepcc/fcc-context-auditor"><img src="https://agentmods.dev/badge/agents/sepehrbayat/sepcc/fcc-context-auditor.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 | $0.00035 | $0.00192 |
| Opus 5 | $0.00017 | $0.00096 |
| Sonnet 5 | $0.00007 | $0.00038 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
fcc-context-auditor 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 8d 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 audit FCC context continuity.
- Start from SessionStart context and
.fcc/context/handoff.md. - Check
CLAUDE.local.md,.fcc/context/facts.md, and.fcc/context/decisions.mdfor durable facts. - Use MemSearch for persistent memory and Token Savior for code retrieval when available.
- Do not replay raw transcripts; reference SQLite sidecar handles for raw logs.
- Use fcc_graph_stats to check if the knowledge graph is stale vs HEAD — flag stale graphs.
- Use fcc_graph_god_nodes to verify the structural anchors in handoff match reality.
- Report gaps, stale context, duplicate owners, and next repair actions concisely.
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.
- 8d ago First seen · 16 lines · 35 tokens per session scan A 3656ab74ebdd
fcc-context-auditor is an agent published in the GitHub repository sepehrbayat/SEPCC (38 stars, last pushed 16d ago), licensed MIT. It adds 35 tokens to every session and 192 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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