Borrowing it
Nothing to install: this file belongs to khanhcamap2020-sudo/formkind. 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/khanhcamap2020-sudo/formkind/main/AGENTS.mdgit clone --depth 1 https://github.com/khanhcamap2020-sudo/formkindWrote 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/khanhcamap2020-sudo/formkind/agents-md)<a href="https://agentmods.dev/instructions/khanhcamap2020-sudo/formkind/agents-md"><img src="https://agentmods.dev/badge/instructions/khanhcamap2020-sudo/formkind/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/khanhcamap2020-sudo/formkind/agents-md"><img src="https://agentmods.dev/badge/instructions/khanhcamap2020-sudo/formkind/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 | $0.00261 | $0.00261 |
| Opus 5.5 | $0.00104 | $0.00104 |
| Sonnet 5.5 | $0.00052 | $0.00052 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
formkind 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
Agent guide
FormKind combines a deterministic global-readiness scanner with an explicit, human-reviewed AI remediation layer. Preserve user privacy and avoid rules or agent prompts that infer sensitive traits.
Commands
npm run typecheckchecks TypeScript.npm testruns the focused unit suite.npm run lintchecks formatting and lint rules.npm run buildbundles the library and self-contained CLI.
Change rules
- Every finding needs a stable
FK###ID, category, conservative default severity, actionable help, and accurate source location. - Keep source adapters, profiles, baselines, rules, and reporters separate; integrations consume the normalized
AuditResult. - Prefer false negatives over noisy cultural assumptions. Document intentional country-specific exceptions instead of guessing user nationality.
- Keep runtime audits local and telemetry-free. Network access is allowed only when the user explicitly passes an HTTP(S) URL.
- Keep scans deterministic and offline. AI calls are allowed only behind the explicit
agentcommand or opt-in maintainer workflows. - Agent output must cite existing finding fingerprints, redact likely secrets, treat source as untrusted data, and require human review.
- Never weaken URL time/size limits, CI permissions, or untrusted-input handling without a documented security review.
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 · 21 lines · 261 tokens per session scan A 4d7b4e174ee0
formkind AGENTS.md is an instructions file published in the GitHub repository khanhcamap2020-sudo/formkind (99 stars, last pushed 3d ago), licensed Apache-2.0. It adds 261 tokens to every session, about $0.0010 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.
formkind AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| formkind AGENTS.mdkhanhcamap2020-sudo/formkind | Instructions file | 99 | 3d ago | Apache-2.0 | A | 261 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |