Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/zhuxinai/sidesight/agents-mdgit clone --depth 1 https://github.com/ZhuXinAI/sidesightWrote 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/zhuxinai/sidesight/agents-md)<a href="https://agentmods.dev/instructions/zhuxinai/sidesight/agents-md"><img src="https://agentmods.dev/badge/instructions/zhuxinai/sidesight/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 | $0.05376 | $0.05376 |
| Opus 5 | $0.02688 | $0.02688 |
| Sonnet 5 | $0.01075 | $0.01075 |
| Haiku 4.5 | $0.00538 | $0.00538 |
Grade A, and why
sidesight 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 5d 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 — 1,117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project mission
Build and maintain SideSight, a CLI-first vision sidecar that gives text-only coding agents image and video understanding through a separately configured multimodal model.
The complete product includes:
- A production-ready
sidesightCLI - A shared vision-analysis core
- OpenAI-compatible multimodal provider support
- An optional stdio MCP server
- A Codex-compatible Agent Skill
- Security controls for local files and remote media
- Offline, mocked integration, and opt-in live tests
- Complete user and developer documentation
The CLI is the primary product.
The MCP server and Agent Skill must reuse the same core behavior rather than implementing parallel logic.
Source of truth
The following files define the work:
TASKS.md— ordered implementation tasksACCEPTANCE.md— user-visible and system-level acceptance scenariosWORKLOG.md— current progress, validation results, blockers, and next taskREADME.md— public product behavior and usageAGENTS.md— execution rules for coding agents
Treat TASKS.md and ACCEPTANCE.md as authoritative.
When documentation and implementation disagree:
- Check
TASKS.md. - Check
ACCEPTANCE.md. - Check the original product requirements.
- Update stale documentation when implementation intentionally changes.
- Never silently weaken an acceptance requirement to make tests pass.
Primary execution objective
When asked to implement the project or a defined scope, complete the entire requested goal in the current run whenever technically possible.
Do not stop after:
- Creating the repository structure
- Writing a plan
- Installing dependencies
- Adding CLI command stubs
- Implementing one provider
- Implementing only the happy path
- Writing tests without running them
- Passing unit tests while acceptance tests still fail
- Producing documentation for behavior that does not work
- Reaching a convenient milestone
- Encountering an ordinary implementation bug
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.
- 5d ago First seen · 1,117 lines · 5,376 tokens per session scan A 6b8639cd97da
sidesight AGENTS.md is an instructions file published in the GitHub repository ZhuXinAI/sidesight (2 stars, last pushed 22d ago), licensed MIT. It adds 5,376 tokens to every session, about $0.0269 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
modlens AGENTS.md
AGENTS.md instructions for liustack/modlens, covering project overview (for ai agent), goal, scope, technical approach and code organization.
superdesign-skill AGENTS.md
Instructions for superdesigndev/superdesign-skill, covering project agent memory, what this repo is, skill flow invariant: two entry paths, ground truth for cli behavior and plugin packaging & release.
team-of-agents CLAUDE.md
Instructions for pranav8494/team-of-agents, covering claude.md, project rules for ai assistants and git commits.
dsh-experts CLAUDE.md
Instructions for libinyam/dsh-experts, covering dsh-experts 宪法, 业务红线(违反即回滚,没有例外), 技术硬约定, 产品路线(已拍板) and 接点台账(已验证的 harness 接点及出处).
embedded-systems-architect AGENTS.md
Instructions for Zachariah9420/embedded-systems-architect: This repository ships an agent skill for embedded-systems and edge-AI development work.
prompt-engineering-skill AGENTS.md
Instructions for k-vaca/prompt-engineering-skill: This repository contains one Agent Skill: prompt-engineering/.