Borrowing it
Nothing to install: this file belongs to shyamsridhar123/sharkbait. 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/shyamsridhar123/sharkbait/main/AGENTS.mdgit clone --depth 1 https://github.com/shyamsridhar123/sharkbaitWrote 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/shyamsridhar123/sharkbait/agents-md)<a href="https://agentmods.dev/instructions/shyamsridhar123/sharkbait/agents-md"><img src="https://agentmods.dev/badge/instructions/shyamsridhar123/sharkbait/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/shyamsridhar123/sharkbait/agents-md"><img src="https://agentmods.dev/badge/instructions/shyamsridhar123/sharkbait/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 | $0.01140 | $0.01140 |
| Opus 5 | $0.00570 | $0.00570 |
| Sonnet 5 | $0.00228 | $0.00228 |
| Haiku 4.5 | $0.00114 | $0.00114 |
Grade A, and why
sharkbait 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 9d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sharkbait Project Instructions
⚠️ MANDATORY: Read this entire file before making ANY changes to this codebase.
🚨 STRICT ENFORCEMENT RULES
These rules are NON-NEGOTIABLE. Failure to follow them will result in rejected work.
Rule 1: Always Check Backlog First
Before starting ANY work:
- Run
backlog task listto see existing tasks - Search for related tasks before creating new ones
- Link your work to an existing task OR create a new one
Rule 2: Task Lifecycle is Mandatory
backlog task start <id> # BEFORE you begin work
backlog task complete <id> # AFTER work is done and committed
Rule 3: Commits Must Reference Tasks
All commits MUST include the task ID:
- ✅
git commit -m "SB-001.02: Add project directory structure" - ❌
git commit -m "Add some files"
Rule 4: No Orphan Work
Every code change must be:
- Linked to a backlog task
- Committed with task reference
- Marked complete when done
Backlog.md MCP Integration
<CRITICAL_INSTRUCTION>
BACKLOG WORKFLOW INSTRUCTIONS
This project uses Backlog.md MCP for all task and project management activities.
CRITICAL GUIDANCE
-
If your client supports MCP resources, read
backlog://workflow/overviewto understand when and how to use Backlog for this project. -
If your client only supports tools or the above request fails, call
backlog.get_workflow_overview()tool to load the tool-oriented overview (it lists the matching guide tools). -
First time working here? Read the overview resource IMMEDIATELY to learn the workflow
-
Already familiar? You should have the overview cached ("## Backlog.md Overview (MCP)")
-
When to read it: BEFORE creating tasks, or when you're unsure whether to track work
These guides cover:
- Decision framework for when to create tasks
- Search-first workflow to avoid duplicates
- Links to detailed guides for task creation, execution, and finalization
- MCP tools reference
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.
- 9d ago First seen · 144 lines · 1,140 tokens per session scan A ef840d8cd55c
sharkbait AGENTS.md is an instructions file published in the GitHub repository shyamsridhar123/sharkbait (5 stars, last pushed 6mo ago), licensed MIT. It adds 1,140 tokens to every session, about $0.0057 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
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.