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/benseverndev-oss/goldenpipe/copilot-instructionsgit clone --depth 1 https://github.com/benseverndev-oss/goldenpipeWrote 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/benseverndev-oss/goldenpipe/copilot-instructions)<a href="https://agentmods.dev/instructions/benseverndev-oss/goldenpipe/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/benseverndev-oss/goldenpipe/copilot-instructions.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 | $0.01839 | $0.01839 |
| Opus 5 | $0.00920 | $0.00920 |
| Sonnet 5 | $0.00368 | $0.00368 |
| Haiku 4.5 | $0.00184 | $0.00184 |
Grade A, and why
goldenpipe copilot-instructions.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.
Copies of this mod
2 near-identical copies found in the catalogue:
- goldenpipe AGENTS.md — 100% identical, 0 lines differ
- goldenpipe CLAUDE.md — 88% identical, 27 lines differ
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GoldenPipe
Golden Suite orchestrator -- chains GoldenCheck, GoldenFlow, GoldenMatch.
Related Projects
- GoldenCheck:
D:\show_case\goldencheck-- Data validation. Has its own CLAUDE.md. - GoldenFlow:
D:\show_case\goldenflow-- Data transformation. Has its own CLAUDE.md. - GoldenMatch:
D:\show_case\goldenmatch-- Entity resolution. Has its own CLAUDE.md. - GitHub:
benzsevern/goldenpipe,benzsevern/goldencheck,benzsevern/goldenflow,benzsevern/goldenmatch
Branch & Merge SOP (all Golden Suite repos)
- Feature work goes on
feature/<name>branches, never directly to main - Merge via squash merge PR (watchers see PR activity, history stays clean)
- PR title format:
feat: <description>orfix: <description> - Merge when: tests pass, docs updated. Days not weeks.
- After merge: delete remote branch
Environment
- Windows 11, bash shell (Git Bash)
- Python 3.12 at
C:\Users\bsevern\AppData\Local\Programs\Python\Python312\python.exe - Two GitHub accounts:
benzsevern(personal) andbenzsevern-mjh(work) - MUST
gh auth switch --user benzsevernbefore push, switch back tobenzsevern-mjhafter
Architecture
goldenpipe/pipeline.py-- Pipeline class, run() function. ONLY file that imports from tools.goldenpipe/decisions.py-- Adaptive logic (decide_flow, decide_match). NO tool imports. Testable independently.goldenpipe/cli/main.py-- Typer CLI- Tools imported with try/except ImportError guards (HAS_CHECK, HAS_FLOW, HAS_MATCH)
- Data flows as Polars DataFrames in memory between stages
Pipeline Flow
load_file -> GoldenCheck.scan_file(path) -> decide_flow(findings)
-> if fixable: GoldenFlow.transform_df(df) -> updated df
-> decide_match(findings, row_count, strategy_override)
-> GoldenMatch.dedupe_df(df) or AgentSession.deduplicate(path)
-> PipeResult
Testing
pytest --tb=shortfrom project root- test_decisions.py: no tool deps, tests pure decision logic
- test_pipeline.py: requires goldencheck, goldenflow, goldenmatch installed
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 · 178 lines · 1,839 tokens per session scan A e274ae0c79e1
goldenpipe copilot-instructions.md is an instructions file published in the GitHub repository benseverndev-oss/goldenpipe (0 stars, last pushed 4mo ago), licensed MIT. It adds 1,839 tokens to every session, about $0.0092 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.
Other instructions, from other repositories
goldenmatch AGENTS.md
AGENTS.md instructions for benseverndev-oss/goldenmatch, covering golden suite monorepo — agent guide, what this is, layout, build & test and landmines to know before you touch anything.
goldenmatch CLAUDE.md
Claude Code instructions for benseverndev-oss/goldenmatch, covering golden suite monorepo, typescript: pnpm + turborepo (post-2026-05-02 fold), ci (.github/workflows/ci.yml), ci path filters (post-2026-05-06, pr #89) and merge queue: main serializes merges fifo (since 2026-06-15).
dbt-doctor AGENTS.md
Instructions for northgraindata/dbt-doctor, covering dbt-doctor, stack, commands and conventions.
datapulse-my AGENTS.md
AGENTS.md instructions for r3dz4r/datapulse-my, covering agents.md — r3dz4r/datapulse-my, what this repo is, hard rules, repo map and script taxonomy — which scripts regenerate vs hand-author.
mcp-a2a-bridge AGENTS.md
AGENTS.md instructions for TonPC64/mcp-a2a-bridge, covering ai readme, project map, choose a setup and agent rules.
persona-agent AGENTS.md
Instructions for memenow/persona-agent, covering agents.md, project, commands, install dependencies and lint and format.