Borrowing it
Nothing to install: this file belongs to PlanExeOrg/PlanExe. 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/PlanExeOrg/PlanExe/main/AGENTS.mdgit clone --depth 1 https://github.com/PlanExeOrg/PlanExeWrote 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/planexeorg/planexe/agents-md)<a href="https://agentmods.dev/instructions/planexeorg/planexe/agents-md"><img src="https://agentmods.dev/badge/instructions/planexeorg/planexe/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/planexeorg/planexe/agents-md"><img src="https://agentmods.dev/badge/instructions/planexeorg/planexe/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 | $0.01637 | $0.01637 |
| Opus 5.5 | $0.00655 | $0.00655 |
| Sonnet 5.5 | $0.00327 | $0.00327 |
| Haiku 4.5 | $0.00164 | $0.00164 |
Grade A, and why
PlanExe AGENTS.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 2mo 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.
- Prefer unit tests over manual curl/server checks. How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PlanExe agent instructions
Scope: repo-level guardrails for PlanExe services and shared packages.
Always check the package-level AGENTS.md for file-specific rules
(use rg --files -g 'AGENTS.md' if you are unsure).
Repo architecture map
database_api: shared SQLAlchemy models for DB-backed services.worker_plan/worker_plan_api: shared API types/helpers (must stay lightweight).worker_plan: FastAPI service that runs the pipeline.frontend_multi_user: Flask UI (hosted mode) + Postgres.worker_plan_database: DB-backed worker that polls tasks.mcp_cloud: MCP stdio server + HTTP wrapper; primary cloud deployment, secondary Docker setup for advanced users, tertiary venv workflow for developers; bridges MCP tools to PlanExe DB/worker_plan.
Shared contracts
- Keep
worker_planHTTP endpoints and response shapes backward compatible. - Preserve shared SQLAlchemy models in
database_api(nullable defaults for new columns). - Run directory naming defaults live in
worker_plan/worker_plan_api/generate_run_id.py. Verify in code before changing run-id formats. - Keep prompt catalog UUIDs stable when used as defaults; they live in
worker_plan/worker_plan_api/prompt/data/*.jsonl.
Hard rules (agent safety)
- Never commit directly to
main. Always create a feature branch (e.g.feat/short-description,fix/short-description) and commit there. Push the branch and open a PR so CI can verify the changes. - Do not add real API keys or passwords to
.env,.env.*, or anyllm_config/*.jsonfile. - Treat
track_activity.jsonlas sensitive (may contain API keys/tokens). Never expose it to end users. Storetrack_activity.jsonlinPlanItem.run_track_activity_jsonland keep it out of downloadable zips at artifact creation time. Legacy snapshots may be sanitized at download time, but new snapshots should be served directly without unzip/recompress. - Shared packages (
database_api,worker_plan_api) must not import service apps (frontend_*,worker_plan_database,worker_plan.app). - If a service needs shared logic, move it into a shared package rather than importing across service boundaries.
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.
- 2mo ago First seen · 127 lines · 1,637 tokens per session scan A 2aeed8bd37a2
PlanExe AGENTS.md is an instructions file published in the GitHub repository PlanExeOrg/PlanExe (403 stars, last pushed 6d ago), licensed MIT. It adds 1,637 tokens to every session, about $0.0065 per session on Opus 5.5. 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 2026-08-30.
PlanExe AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| PlanExe AGENTS.mdPlanExeOrg/PlanExe | Instructions file | 403 | 6d ago | MIT | A | 1,637 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |