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/DDS-Solutions/AI-TadPole-OSnpx agentmods add skills/dds-solutions/ai-tadpole-os/documentation-templatesWrote 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/dds-solutions/ai-tadpole-os/documentation-templates)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/documentation-templates"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/documentation-templates/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/dds-solutions/ai-tadpole-os/documentation-templates"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/documentation-templates.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 | $0.00031 | $0.01337 |
| Opus 5.5 | $0.00012 | $0.00535 |
| Sonnet 5.5 | $0.00006 | $0.00267 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
documentation-templates 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 12d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / documentation-templates
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Undocumented architectural drift, non-standard ADR structures, broken AI context headers.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Documentation Protocols & Knowledge Heritage Standards
Philosophy: Documentation is Infrastructure. It eliminates decision regressions, preserves institutional knowledge, and accelerates autonomous agent reasoning. Workflow Binding: Used directly during
/codify,/report, and/audit.
📚 Progressive Disclosure & L3 Reference Index
Read REQUIRED core standards below; consult deep L3 Reference Guides on demand:
| L3 Resource | Scope & Purpose | Trigger / When to Load |
|---|---|---|
adr_and_llms_templates.md |
Standard ADR blueprint, llms.txt schema, ADG v2 multi-language AI context headers |
Creating ADRs, generating context catalogs, authoring code headers |
doc_template_linter.py |
Deterministic markdown & ADR template structural validator | Pre-commit verification of docs and decision records |
/codify Workflow |
Knowledge heritage synthesis pipeline | Translating verified patterns into sovereign directives |
🏛️ 1. The 4-Tier Documentation Taxonomy
Tier 1: Architectural Directives ➔ docs/ & docs/adr/ (Sovereign invariants, system boundaries)
Tier 2: Inline Context Contracts ➔ Code Headers & Docstrings (Enforced via verify_ai_context.py & ADG v2)
Tier 3: Machine Contracts ➔ docs/openapi.yaml & docs/API_CONTRACT.md (Typed interfaces)
Tier 4: Knowledge Heritage ➔ wiki/ & docs/wiki/ (Operational guides, runbooks, debriefs)
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.
- 12d ago Changed · +43 lines 9c5e48290267
- 2mo ago First seen · 65 lines · 31 tokens per session scan A 1e482a5008d9
documentation-templates is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,337 once invoked, about $0.0001 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.
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