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/sattyamjjain/proofloop/claude-mdgit clone --depth 1 https://github.com/sattyamjjain/proofloopWhat 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 | $0.04440 | $0.04440 |
| Opus 5 | $0.02220 | $0.02220 |
| Sonnet 5 | $0.00888 | $0.00888 |
| Haiku 4.5 | $0.00444 | $0.00444 |
Grade A, and why
proofloop CLAUDE.md scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
This project has no build step or package manager. Python scripts use stdlib only (Python 3.9+); the optional LLM second-opinion analyzer uses `urllib.request` rather than pulling in the `anthropic` SDK. How it starts
The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Overview
Proofloop is a Claude Code plugin that auto-evaluates skill and agent execution quality. It provides 7-dimension scoring (correctness, completeness, adherence, actionability, efficiency, safety, consistency), configurable rubrics, persistent scorecards, and dual-mode operation (auto via hooks + manual via /judge command). Works on both Claude Code and Claude Cowork.
- Author: Sattyam Jain
- License: MIT
- Platforms:
claude-code,claude-cowork
v4.3 Scope Contract (2026-05-03)
Proofloop is a Claude Code / Cowork plugin only. Per the 2026-05-03 v4.3 scope reset (runbook §scope-reset), the rubric and adapter inventory is pinned to plugin-domain quality scoring. Frontier-lab eval-bench scope (SWE-bench, Terminal-Bench, GAIA, OSWorld, MCP attack benches, etc.) is explicitly out of scope and will not be re-added without a runbook spec change.
In-scope rubrics (11): code-review, security, devops, data-analysis, frontend-design, testing, documentation, content-writing, research, default, custom-template.
Out-of-scope, queued for v2.0.0 trim (16): agentic-sast-confidence, browser-agent, clinical-agentic-workflow, code-review-aider-polyglot, eu-ai-act-audit-trail, function-hijacking-robustness, gpt-5-5-differential, model-spec-compliance, owasp-mcp-top-10-beta, project-deal-commerce, routine-execution, ship-readiness, skill-compliance, swe-bench-pro, terminal-bench, tool-output-rewrite.
In-scope adapters (4): claude_code, cowork, openai_compatible, codex. Cross-ecosystem adapters (Gemini, MLflow, Inspect-AI, Terminal-Bench, browser-harness) are out of scope.
Core surfaces (do not regress): 7-dimension scoring (correctness, completeness, adherence, actionability, efficiency, safety, consistency); auto-hooks (Stop, SubagentStop, StopFailure); /judge, /scorecard, /benchmark, /judge-config, /against, /compare slash commands; per-rubric <name>.weights.json sidecar overrides; threshold blocking via judge-config.json.
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.
- 3d ago First seen · 240 lines · 4,440 tokens per session scan A e2d61ecea01c
proofloop CLAUDE.md is an instructions file published in the GitHub repository sattyamjjain/proofloop (5 stars, last pushed 2mo ago), licensed MIT. It adds 4,440 tokens to every session, about $0.0222 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
quality-oracle CLAUDE.md
Claude Code instructions for assister-xyz/quality-oracle, covering laureum.ai (quality oracle), project context, architecture, running locally and quality gates.
eval-view AGENTS.md
Instructions for hidai25/eval-view, covering evalview agent instructions, what evalview is, core concepts, testcase and evaluationresult.
evals4j CLAUDE.md
Instructions for dvarahq/evals4j, covering evals4j, layout, build, parity discipline and releasing.
agenthub AGENTS.md
Instructions for nullorder/agenthub, covering agenthub — agent guidelines, what is this project?, project structure, critical rules and plugin json schema.
benchjack CLAUDE.md
Instructions for benchjack/benchjack, covering claude.md, project overview, tech stack, repository layout and common commands.
pnCore CLAUDE.md
Claude Code instructions for perniemann/pnCore, covering claude / agent instructions (pncore workspace), frontend aesthetics (global) and pncore resources.