Borrowing it
Nothing to install: this file belongs to pppop00/Equity-Research-Company. 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/pppop00/Equity-Research-Company/main/AGENTS.mdgit clone --depth 1 https://github.com/pppop00/Equity-Research-CompanyWrote 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/pppop00/equity-research-company/agents-md)<a href="https://agentmods.dev/instructions/pppop00/equity-research-company/agents-md"><img src="https://agentmods.dev/badge/instructions/pppop00/equity-research-company/agents-md/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/instructions/pppop00/equity-research-company/agents-md"><img src="https://agentmods.dev/badge/instructions/pppop00/equity-research-company/agents-md.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 | $0.02268 | $0.02268 |
| Opus 5 | $0.01134 | $0.01134 |
| Sonnet 5 | $0.00454 | $0.00454 |
| Haiku 4.5 | $0.00227 | $0.00227 |
Grade A, and why
Equity-Research-Company AGENTS.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 9d 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
1 near-identical copy found in the catalogue:
- Equity-Research-Company CLAUDE.md — 100% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.
Commands
Run all tests:
python3 -m unittest discover -s tests -v
Validate machine-readable workflow contract:
python3 scripts/validate_workflow_meta.py --meta workflow_meta.json
Run a single test class or method:
python3 -m unittest tests.test_extract_report_template.TestSha256Stable -v
python3 -m unittest tests.test_extract_report_template.TestSha256Stable.test_cn_hash_matches_known_snapshot -v
Extract the locked HTML skeleton (for auditing or Phase 5 generation):
python3 scripts/extract_report_template.py --lang cn --sha256 -o workspace/MyCo_2026-04-08/_locked_cn_skeleton.html
python3 scripts/extract_report_template.py --lang en --sha256 -o workspace/MyCo_2026-04-08/_locked_en_skeleton.html
US SEC EDGAR bundle (Agent 1 API-first path; orchestrator obtains a real user email per SKILL.md Step 0A.2, then passes --user-agent):
python3 scripts/sec_edgar_fetch.py --ticker MSFT --user-agent "EquityResearchSkill/1.0 ([email protected])" --report-date 2026-04-11 -o workspace/Microsoft_2026-04-11/sec_edgar_bundle.json
Capture a new failure rule (/log-incident):
# Backend that the /log-incident slash command shells out to. Read-only — does NOT modify INCIDENTS.md.
python3 tools/io/log_incident.py --collect --workspace workspace/<latest_run>/ --description "<one-line description>"
Architecture
This is an AI skill pack built on the Anamnesis Pattern — cross-session institutional memory plus scheduled adversarial review. The "code" is primarily markdown files that instruct AI assistants (Codex, ChatGPT, Cursor) how to produce equity research reports under a closed-loop enforcement contract.
Boot order (every session)
SKILL.md— orchestration entry; describes phases, agents, and the hard floor.MEMORY.md— project invariants (P0 gates, locked-template rule, QC scoring math, Porter orientation, tolerances). Frozen into the session's system prompt.INCIDENTS.md— append-only log of past failure modes, frozen into the same prompt. Read end-to-end at every session boot.workflow_meta.json— machine-readable phase + gate contract. Thephase_orderlist now brackets the research/report phases withphase_incident_precheck(first) andphase_incident_postcheck(last), and insertsphase_5_7_red_teambetween Phase 5.5 and Phase 6.
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.
- 9d ago First seen · 96 lines · 2,268 tokens per session scan A 1a7ed3161df5
Equity-Research-Company AGENTS.md is an instructions file published in the GitHub repository pppop00/Equity-Research-Company (8 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,268 tokens to every session, about $0.0113 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
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.