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 skills/riggdai/uniqent/draft-replynpx skills add RiggdAI/uniqent --skill draft-replygit clone --depth 1 https://github.com/RiggdAI/uniqentWrote 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/skills/riggdai/uniqent/draft-reply)<a href="https://agentmods.dev/skills/riggdai/uniqent/draft-reply"><img src="https://agentmods.dev/badge/skills/riggdai/uniqent/draft-reply.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 | $0.00018 | $0.00190 |
| Opus 5 | $0.00009 | $0.00095 |
| Sonnet 5 | $0.00004 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
draft-reply 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 4d 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
Draft Reply
- Start by acknowledging the customer's specific situation in one sentence — name the problem, not just the emotion.
- Consult the [[knowledge-base]] for the relevant policy or answer before writing anything. Cite the policy section if it helps the customer understand.
- State clearly what will happen next and by when. Do not over-promise: if a timeline is uncertain, say so.
- Match the customer's language (as determined by triage). Keep the reply concise — two to four short paragraphs maximum.
- Close with a single, specific next-step offer (e.g. "Reply here if you'd like me to start the return" rather than a generic "Let me know if I can help").
- Never include internal ticket IDs, employee names, or internal tooling names in the reply.
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.
- 4d ago First seen · 14 lines · 18 tokens per session scan A c531dae1eb48
draft-reply is a skill published in the GitHub repository RiggdAI/uniqent (15 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 190 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
zorro-atropos-environments
Build, test, and debug Zorro Agent RL environments for Atropos training. Covers the ZorroAgentBaseEnv interface, reward functions, agent loop integration, evaluation with tools, wandb logging, and the three CLI modes (serve/process/evaluate). Use when creating, reviewing, or fixing RL environments in the zorro-agent…
honcho
Configure and use Honcho memory with Zorro -- cross-session user modeling, multi-profile peer isolation, observation config, and dialectic reasoning. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation and recall settings.
telephony
Give Zorro phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi.
zorro-agent
Complete guide to using and extending Zorro Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Zorro, troubleshoot issues, spawn agent instances, or make code…
openclaw-migration
Migrate a user's OpenClaw customization footprint into Zorro Agent. Imports Zorro-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from /.openclaw, then reports exactly what could not be migrated and why.
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.