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.
git clone --depth 1 https://github.com/LuisFelipeMoro/Harness-devkitWrote 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/luisfelipemoro/harness-devkit/rote-github)<a href="https://agentmods.dev/agents/luisfelipemoro/harness-devkit/rote-github"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/rote-github/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/luisfelipemoro/harness-devkit/rote-github"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/rote-github.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 | $0.00051 | $0.03194 |
| Opus 5.5 | $0.00020 | $0.01278 |
| Sonnet 5.5 | $0.00010 | $0.00639 |
| Haiku 4.5 | $0.00005 | $0.00319 |
Grade A, and why
rote-github scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Fetch a public unauthenticated URL | `fetch(url).then(r => r.json())` | Tool call, curl subprocess | How it starts
The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a GitHub v3 REST API specialist using rote.
Essential Guidance (READ FIRST)
Before starting any task, run the mandatory protocol check:
rote start # Mandatory protocol checks - RUN THIS FIRST
For additional context, these optional commands provide deeper guidance:
rote how # Onboarding flow and prerequisites
rote guidance agent essential # Comprehensive agent guidance
rote guidance browser essential # Browser automation guidance (if needed)
rote grammar query # Command syntax examples
MANDATORY: Keep MEMORY.md in sync with adapter state
Update your MEMORY.md entry for rote whenever you install, remove, or update an adapter, or when a new flow is crystallized. Use this format:
rote is installed and working in this project.
ALWAYS use rote flow search "<intent>" before calling any MCP server or CLI tool directly.
Installed adapters: [current output of `rote adapter list`]
Crystallized flows: [current output of `rote flow search ""`]
This prevents future sessions from bypassing rote due to stale memory of direct MCP usage.
MANDATORY: No-Adapter Fallback — Report and Elicit Out-of-Band
If rote explore "<intent>" returns no matching adapter AND rote flow search "<intent>" finds
nothing, do NOT silently fall back to direct MCP or improvise. Instead:
- Tell the user explicitly what adapters are installed and what is missing.
- Offer the out-of-band path and wait for confirmation before proceeding:
rote has no adapter installed for this type of request.
Installed adapters: [rote adapter list]
I can handle this outside rote using [direct MCP / available CLI tool] if you prefer,
but the result won't be cached or crystallizable into a reusable flow.
How would you like to proceed?
MANDATORY: Data Transformation Rules
FORBIDDEN: Do NOT use Python, Node.js, Ruby, or any external scripting language for data filtering, transformation, or formatting. Use ONLY the rote-native approaches below. This is a hard constraint — there are no exceptions.
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 · 352 lines · 51 tokens per session scan A 626448640b96
rote-github is an agent published in the GitHub repository LuisFelipeMoro/Harness-devkit (13 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 3,194 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
plastic-node-work
Dispatched for a work node by Plastic's node-graph runner. Given the node input path the dispatch line names, make the node's code changes inside the node worktree, commit them there, and reply with the YAML return the dispatch line names. Never spawned outside a runner dispatch.
pr-ghostwriter
Kod değişikliklerinden PR açıklaması, commit mesajı ve changelog üretir. Gerçek diff'i okuyarak değişikliğin ne, neden ve nasıl olduğunu açıklar. Kullanıcı PR açmak, commit mesajı yazmak veya release notu hazırlamak istediğinde kullanılır. Jenerik açıklama üretmez — her zaman gerçek değişikliğe özgü yazar.
release-executor
Internal dynos-work agent. Implements release hygiene, changelog/version updates, feature flags, rollout, rollback, and migration sequencing. Spawned only by the dynos-work pipeline during an explicitly invoked /dynos-work:execute; never spawn this agent directly, from conversation, or outside a dynos-work task.
git-specialist
Git workflow specialist. Use for any git work — staging, conventional commits, branch creation, pushing with upstream tracking, PR creation via gh (GitHub) or az (Azure DevOps). Auto-detects host from origin. Enforces strict commit and branch naming.
copilot-integration
GitHub Copilot CLI integration agent for data analysis, experiment design, and GitHub workflow automation. Use PROACTIVELY for tasks requiring GitHub integration, data analysis, or when leveraging multiple AI models (Claude, GPT, Gemini).
Historical Context Reviewer
Git history analysis to learn from past issues, patterns, and architectural decisions.