Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/docxology/templatenpx agentmods add skills/docxology/template/agentic-useWrote 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/docxology/template/agentic-use)<a href="https://agentmods.dev/skills/docxology/template/agentic-use"><img src="https://agentmods.dev/badge/skills/docxology/template/agentic-use/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/skills/docxology/template/agentic-use"><img src="https://agentmods.dev/badge/skills/docxology/template/agentic-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 78 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00092 | $0.02329 |
| Opus 5.5 | $0.00037 | $0.00932 |
| Sonnet 5.5 | $0.00018 | $0.00466 |
| Haiku 4.5 | $0.00009 | $0.00233 |
Grade A, and why
template-agentic-use 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 13d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic use
Natural invoke
- "Discover all relevant skills for working with template/"
- "Make this repo easier for agents to navigate"
- "Improve skill routing and eval coverage"
- "Check whether an external skill should be installed or just referenced"
- "Review Steward OS and learn useful skills or ideas for template/"
- "Review autoresearch-cli and learn measurement-loop patterns for template/"
- "Can LEANN semantic memory help template agents navigate this repo?"
- "Install Agent Skills for Context Engineering across Codex, Claude, and Hermes"
Inputs to confirm
- Scope - skill discovery only, routing docs, or contract/eval hardening.
- External installs - default is no install and no vendoring unless explicitly requested.
- Audience - local agents, maintainers, or new contributors.
Workflow
-
Inventory - run
uv run python -m infrastructure.skills list-json,check,check-contracts,operations-check, andruntime-statuswhen user-level parity is in scope. Usedocs/_generated/skills_index.mdas the human index,.agents/skill_manifest.jsonas the editor manifest, and.agents/operations_manifest.jsonas the Codex/MCP operation catalog. -
Route locally first - choose
docs/prompts/SKILL.md(template-workflows) for broad template work, then exactly one child skill for implementation. Use this skill only for agent onboarding, routing, skill-surface maintenance, and external-skill review. -
Harden discoverability - update the hub routing table, README, mode registry, trigger eval set, and generated manifest/index when the skill surface changes. Avoid unrelated documentation normalization.
-
Evaluate external skills - check install count, source reputation, and repository health. Record strong candidates as optional companion skills; do not add external skill directories to this public repo by default.
-
Adopt external references template-first - when a reference such as Steward OS, AutoResearch CLI, or LEANN is useful, translate the idea into template-native routing, eval, local guide, or deterministic infrastructure language. Do not copy external SKILL.md bodies, add scheduled jobs, create public-write automation, install MCP servers, or vendor external directories unless the user explicitly requests that separate implementation.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago Changed 25ef54d5bdc9
- 2mo ago First seen · 151 lines · 92 tokens per session scan A 68d5fede31f5
template-agentic-use is a skill published in the GitHub repository docxology/template (23 stars, last pushed today), licensed Apache-2.0. It adds 92 tokens to every session and 2,329 once invoked, about $0.0004 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.
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