Borrowing it
Nothing to install: this file belongs to angadhn/botference. 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/angadhn/botference/main/.claude/agents/agent-template.mdgit clone --depth 1 https://github.com/angadhn/botferenceWrote 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/agents/angadhn/botference/agent-template)<a href="https://agentmods.dev/agents/angadhn/botference/agent-template"><img src="https://agentmods.dev/badge/agents/angadhn/botference/agent-template/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/agents/angadhn/botference/agent-template"><img src="https://agentmods.dev/badge/agents/angadhn/botference/agent-template.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 | $0.00000 | $0.00662 |
| Opus 5.5 | $0.00000 | $0.00265 |
| Sonnet 5.5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
agent-template 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 1mo 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
— .
Inputs (READ these)
checkpoint.md— current state (Knowledge State table + Next Task)<input-file-1>—<input-file-2>—
Tools
<tool_name>— <when/why to use it>
Operational Guardrails
- Pre-estimate:
- Priority order: (1) , (2) , (3) <least critical, skip if context tight>
- Context check:
Output Format
AI-generated-outputs/<thread>/<phase-NN-name>/
├── <output-file-1> # Description
├── <output-file-2> # Description
├── <output-file-3> # Description
└── phase-summary.md # What was accomplished, key decisions, what passes to next phase
Workflow
- Read
checkpoint.md— determine current task from Knowledge State + Next Task - <Step 2>
- <Step 4>
...
N-2. Write
AI-generated-outputs/<thread>/<phase-NN-name>/phase-summary.md(~10 lines: what was accomplished, key decisions, what passes to next phase, issues/partial work) N-1. Updatecheckpoint.md— replace Knowledge State section with current phase's table, update Next Task N. Commit all outputs: phase outputs, phase-summary.md, checkpoint.md
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.
- 1mo ago First seen · 74 lines · 0 tokens per session scan A 04cda86bc15d
agent-template is an agent published in the GitHub repository angadhn/botference (20 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 662 tokens. 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.
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