Borrowing it
Nothing to install: this file belongs to dryvist/ai-workflows. 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/dryvist/ai-workflows/main/AGENTS.mdgit clone --depth 1 https://github.com/dryvist/ai-workflowsWrote 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/dryvist/ai-workflows/agents-md)<a href="https://agentmods.dev/instructions/dryvist/ai-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/dryvist/ai-workflows/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/dryvist/ai-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/dryvist/ai-workflows/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 | $0.02243 | $0.02243 |
| Opus 5.5 | $0.00897 | $0.00897 |
| Sonnet 5.5 | $0.00449 | $0.00449 |
| Haiku 4.5 | $0.00224 | $0.00224 |
Grade A, and why
ai-workflows 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 25d 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-workflows
Reusable AI agent workflows for GitHub Actions. Consumer repos call these with thin ~10-20 line callers.
Architecture
This repo is the single source of truth for CI/CD automation workflows.
Each workflow is a GitHub reusable workflow (on: workflow_call) that consumer
repos invoke via uses: dryvist/ai-workflows/.github/workflows/<name>.yml@<40-hex-sha> # vX.Y.Z.
Directory Structure
.github/
prompts/
*.md # Prompt files (one per workflow)
scripts/
render-prompt.sh # Shared: envsubst + GITHUB_OUTPUT
best-practices/ # Extracted JS scripts per workflow
ci-fail-issue/
ci-fix/
dep-review/
issue-backlog-sweep/
issue-linker/
issue-resolver/
post-merge-docs-review/
post-merge-tests/
pr-agent/
release-notes/
review-thread-resolver/
shared/
verification/
workflows/
*.yml # Pure YAML workflow definitions (no embedded content)
Workflow Types
There are three families, and they do not share a credential contract:
- Agentic workflows use the shared
run-ai-agentadapter, which selects Claude or Codex fromGH_ACTION_AI_AGENTand defaults to Claude. These are the workflows that edit a tree and open a pull request. pr-agent.ymlruns PR-Agent against the model router for PR-scoped review, code suggestions and descriptions. Its prompts live in the consumer repository's own.pr_agent.toml; see docs/pr-agent.md.- Router workflows (
thread-triage,docs-drift,repo-hygiene-digest) make one chat completion withactions/ai-inference(a.prompt.ymlbeside the workflow's scripts holds the messages and, where the answer is JSON, the schema). They takeLLM_ROUTER_BASE_URLandLLM_ROUTER_API_KEY— both secrets — and default to aself-hostedrunner, because only such a runner reaches the router.
A router workflow that cannot reach the router FAILS, releasing the runner:
the action's client retries a connection failure or 5xx twice and gives up,
and the job is capped at ten minutes. CI never waits for a model beyond that;
the router role's own fallback chain absorbs load. pr-agent picks the
router key and role by repository visibility
(LLM_ROUTER_OSS_API_KEY + oss_model on an open-source repo); every review
still runs on the self-hosted pool against the router. Never restore a
skip-and-succeed path: a green check that did no work is what these replaced.
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.
- 25d ago Changed · -2 lines · -45 tokens per session 8a3e95002ec5
- 26d ago Changed · +1 lines · +35 tokens per session ea79da45a9da
- 1mo ago Changed · +2 lines · +69 tokens per session 12ff4a60d4a2
- 1mo ago Changed · +2 lines · +9 tokens per session 4aa3f4a9844b
- 1mo ago Changed · +31 lines · +409 tokens per session 50406ed14c44
- 2mo ago First seen · 190 lines · 1,766 tokens per session scan A b960c9dfaddc
ai-workflows AGENTS.md is an instructions file published in the GitHub repository dryvist/ai-workflows (4 stars, last pushed 19d ago), licensed MIT. It adds 2,243 tokens to every session, about $0.0090 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 2026-08-31.
ai-workflows AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-workflows AGENTS.mddryvist/ai-workflows | Instructions file | 4 | 19d ago | MIT | A | 2,243 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |