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 skills add docxology/template --skill gatesgit clone --depth 1 https://github.com/docxology/templateWrote 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/gates)<a href="https://agentmods.dev/skills/docxology/template/gates"><img src="https://agentmods.dev/badge/skills/docxology/template/gates/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/gates"><img src="https://agentmods.dev/badge/skills/docxology/template/gates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00190 |
| Opus 5 | $0.00026 | $0.00095 |
| Sonnet 5 | $0.00010 | $0.00038 |
| Haiku 4.5 | $0.00005 | $0.00019 |
Grade A, and why
template-gates 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 5d 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
SKILL: template-gates
Optional validation gate scripts.
Invocation
uv run python scripts/gates/security_scan.py
uv run python scripts/gates/module_line_count_check.py
uv run python scripts/gates/methods_plan_check.py [--project <name>]
uv run python scripts/gates/gate_cache.py
uv run python scripts/gates/plugin_export_check.py
uv run python scripts/gates/skill_reachability_check.py
Related
scripts/gates/AGENTS.md— detailed gate documentationinfrastructure/validation/— validation infrastructure
What ships with it
16 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.
- __init__.py 477 B runs code
- AGENTS.md 3.1 KB
- check_private_project_promotion.py 485 B runs code
- exemplar_export_smoke.py 1.1 KB runs code
- gate_cache.py 390 B runs code
- methods_plan_check.py 3.5 KB runs code
- module_line_count_check.py 3.3 KB runs code
- mypy_ratchet.py 759 B runs code
- pip_audit_ignore_policy.py 2.3 KB runs code
- plugin_export_check.py 430 B runs code
- public_capabilities.py 2.7 KB runs code
- public_readiness.py 2.7 KB runs code
- README.md 1.6 KB
- security_scan.py 707 B runs code
- skill_reachability_check.py 5.6 KB runs code
- status_freshness.py 1.6 KB runs code
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.
- 5d ago First seen · 28 lines · 51 tokens per session scan A 01b393de114a
template-gates is a skill published in the GitHub repository docxology/template (19 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 190 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
planning-with-files
Persistent file-based planning for multi-step AI-agent work. Keeps taskplan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and…
aerospace-engineering-technician
Use when a task needs the judgment of an Aerospace Engineering and Operations Technologist/Technician — verifying an installed fastener's preload against a drawing's torque callout via the T=K·D·F relationship, reducing strain-gauge data from a structural proof-load test into stress and checking it against an…
aviation-inspector
Use when a task needs the judgment of an Aviation Inspector — determining whether an air carrier's fleet is in compliance with an Airworthiness Directive across a maintenance-records sample, deciding where the FAA's compliance-and-enforcement ladder places a finding (compliance action vs. Letter of Correction vs.…
actor
Use when a task needs the judgment of a professional Actor — breaking down sides for a self-tape audition, preparing a character choice for rehearsal, deciding between two conflicting bookings, reading a contract offer for scale vs. scale-plus terms, or diagnosing why callbacks aren't converting to bookings.
advertising-promotions-manager
Use when a task needs the judgment of an Advertising and Promotions Manager — building a media plan backward from an objective and budget, briefing or evaluating creative against a brief, negotiating with agencies/media vendors, sanity-checking vendor-reported attribution, or reading a post-campaign debrief to…
agricultural-equipment-operator
Use when a task needs the judgment of an Agricultural Equipment Operator — calibrating planter seed population and singulation, diagnosing combine header or separator loss, sequencing planting or harvest across fields under a weather-constrained window, sizing machinery capacity in acres/hour against a season's…