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 instructions/os-tack/fcp-sheets/claude-mdgit clone --depth 1 https://github.com/os-tack/fcp-sheetsWrote 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/instructions/os-tack/fcp-sheets/claude-md)<a href="https://agentmods.dev/instructions/os-tack/fcp-sheets/claude-md"><img src="https://agentmods.dev/badge/instructions/os-tack/fcp-sheets/claude-md.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 | $0.00308 | $0.00308 |
| Opus 5 | $0.00154 | $0.00154 |
| Sonnet 5 | $0.00062 | $0.00062 |
| Haiku 4.5 | $0.00031 | $0.00031 |
Grade A, and why
fcp-sheets CLAUDE.md 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
fcp-sheets
Project Overview
MCP server that lets LLMs create and edit spreadsheets through a semantic verb DSL. Uses openpyxl as the native library (Tier 2 architecture).
Architecture
src/fcp_sheets/model/— Thin wrapper around openpyxl Workbook, cell ref parser, sheet indexsrc/fcp_sheets/server/— Verb handlers (ops_*.py), queries, verb registry, resolverssrc/fcp_sheets/lib/— Color palette, number formats, chart types, table stylessrc/fcp_sheets/adapter.py— FcpDomainAdapter bridging fcp-core to openpyxlsrc/fcp_sheets/main.py— Server entry point
Key Patterns
- Each
ops_*.pyexports aHANDLERSdict mapping verb names to handler functions - The adapter merges all HANDLERS at import time for dispatch
queries.pyexportsQUERY_HANDLERSfor query dispatch- Block mode:
datalines buffered in adapter, flushed ondata end - Undo/redo: byte snapshots via
wb.save(BytesIO)/load_workbook(BytesIO) - Batch atomicity: pre-batch snapshot, rollback on any op failure
Commands
uv run pytest— Run testsuv run python -c "from fcp_sheets.main import main"— Verify import
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 · 25 lines · 308 tokens per session scan A eacdeb5666ed
fcp-sheets CLAUDE.md is an instructions file published in the GitHub repository os-tack/fcp-sheets (2 stars, last pushed 2mo ago), licensed MIT. It adds 308 tokens to every session, about $0.0015 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 2026-08-31.
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