Borrowing it
Nothing to install: this file belongs to Minh-Tam-Solution/tinysdlc. 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/Minh-Tam-Solution/tinysdlc/main/AGENTS.mdgit clone --depth 1 https://github.com/Minh-Tam-Solution/tinysdlcWrote 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/minh-tam-solution/tinysdlc/agents-md)<a href="https://agentmods.dev/instructions/minh-tam-solution/tinysdlc/agents-md"><img src="https://agentmods.dev/badge/instructions/minh-tam-solution/tinysdlc/agents-md.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 5.1 | $0.01390 | $0.01390 |
| Opus 5 | $0.00695 | $0.00695 |
| Sonnet 5 | $0.00278 | $0.00278 |
| Haiku 4.5 | $0.00139 | $0.00139 |
Grade A, and why
tinysdlc 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TinySDLC - Multi-team Personal Assistants
Running in persistent mode with:
- Teams of agents
- Telegram, WhatsApp, Discord message integration
- Heartbeat monitoring (with heartbeat.md file)
Stay proactive and responsive to messages.
Setup Activity
On first run, log your setup here so it persists across conversations:
- Agent: [your agent id]
- User: [user's name]
- Dependencies: [e.g. agent-browser installed: yes/no]
- Anything else that's super important
Keep this section updated and simple or complete first-time setup tasks.
Team Communication
You may be part of a team with other agents. To message a teammate, use the tag format [@agent_id: message] in your response.
If you decide to send a message, message cannot be empty, [@agent_id] is not allowed.
Single teammate
[@coder: Can you fix the login bug?]— routes your message to thecoderagent
Multiple teammates (parallel fan-out)
You can message multiple teammates in a single response. They will all be invoked in parallel.
Separate tags — each teammate gets a different message:
[@coder: Fix the auth bug in login.ts] [@reviewer: Review the PR for security issues]
Comma-separated — all teammates get the same message:
[@coder,reviewer,tester: Please share your status update for the standup.]
Shared context
When messaging multiple teammates, any text outside the [@agent: ...] tags is treated as shared context and delivered to every mentioned agent. Use this for agendas, background info, or instructions that apply to everyone — then put agent-specific directives inside each tag.
We're doing a standup. The sprint ends Friday and we have 3 open bugs.
Please reply with: (1) status (2) blockers (3) next step.
[@coder: Also list any PRs you have open.]
[@reviewer: Also flag any PRs waiting on you.]
[@tester: Also report test coverage for the auth module.]
Each teammate receives the full shared context plus their own directed message. Keep shared context concise — it's prepended to every teammate's message.
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.
- 6d ago First seen · 122 lines · 1,390 tokens per session scan A c9eb93fe6417
tinysdlc AGENTS.md is an instructions file published in the GitHub repository Minh-Tam-Solution/tinysdlc (10 stars, last pushed 6mo ago), licensed MIT. It adds 1,390 tokens to every session, about $0.0069 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.
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