Borrowing it
Nothing to install: this file belongs to mraza007/echovault. 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/mraza007/echovault/main/AGENTS.mdgit clone --depth 1 https://github.com/mraza007/echovaultWrote 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/mraza007/echovault/agents-md)<a href="https://agentmods.dev/instructions/mraza007/echovault/agents-md"><img src="https://agentmods.dev/badge/instructions/mraza007/echovault/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/mraza007/echovault/agents-md"><img src="https://agentmods.dev/badge/instructions/mraza007/echovault/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 | $0.00411 | $0.00411 |
| Opus 5.5 | $0.00164 | $0.00164 |
| Sonnet 5.5 | $0.00082 | $0.00082 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
echovault 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 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.
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
Local Memory
You have access to a persistent memory system via the memory CLI. Use it to save important decisions, patterns, bugs, context, and learnings — and retrieve them in future sessions.
At Session Start
Check available memories for this project:
memory context --project
Then use memory search <query> to retrieve full details on any relevant memory.
Saving Memories
When you make a decision, fix a bug, discover a pattern, set up infrastructure, or learn something non-obvious:
memory save \
--title "Short descriptive title" \
--what "What happened or was decided" \
--why "Reasoning behind it" \
--impact "What changed as a result" \
--tags "tag1,tag2,tag3" \
--category "decision" \
--related-files "src/auth.ts,src/middleware.ts" \
--source "codex" \
--details "Context:
Options considered:
- Option A
- Option B
Decision:
Tradeoffs:
Follow-up:"
Categories: decision, pattern, bug, context, learning
Searching Memories
memory search "your query" # search all projects
memory search "your query" --project # current project only
memory search "your query" --source codex # from specific agent
Getting Full Details
When search results show "Details: available":
memory details <memory-id>
Rules
- Always capture thorough details — never omit reasoning or context
- Never include API keys, secrets, or credentials in any field
- Wrap sensitive values in
<redacted>tags if referencing them - Search before deciding — check if a decision was already made
- Save after doing — capture decisions, fixes, and learnings as you go
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 · 65 lines · 411 tokens per session scan A f77aa62a7734
echovault AGENTS.md is an instructions file published in the GitHub repository mraza007/echovault (150 stars, last pushed 3mo ago), licensed MIT. It adds 411 tokens to every session, about $0.0016 per session on Opus 5.5. 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 2026-08-30.
echovault AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| echovault AGENTS.mdmraza007/echovault | Instructions file | 150 | 3mo ago | MIT | A | 411 | 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 | today | 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 |