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 template-autopoiesisgit 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/template-autopoiesis)<a href="https://agentmods.dev/skills/docxology/template/template-autopoiesis"><img src="https://agentmods.dev/badge/skills/docxology/template/template-autopoiesis/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/template-autopoiesis"><img src="https://agentmods.dev/badge/skills/docxology/template/template-autopoiesis.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 | $0.00677 |
| Opus 5 | $0.00026 | $0.00338 |
| Sonnet 5 | $0.00010 | $0.00135 |
| Haiku 4.5 | $0.00005 | $0.00068 |
Grade A, and why
template-autopoiesis 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 7d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
template-autopoiesis
Project-scoped skill for the in-repo exemplar at
projects/templates/template_autopoiesis/. Load this when working inside the
project.
When to Use
- Working inside the
template_autopoiesisexemplar — running the grammar, materializing child projects, or editing source. - Forking this exemplar to build a different combinatoric project-generator.
- Validating that a materialized child project's tests, coverage, and recompute-verified provenance still hold after a grammar change.
Quick Reference
# From the repository root
uv run pytest projects/templates/template_autopoiesis/tests --cov=projects/templates/template_autopoiesis/src --cov-fail-under=90
# Materialize a child project from the grammar (writes a full runnable tree)
uv run python projects/templates/template_autopoiesis/scripts/autopoiesis.py materialize --out-root /tmp/children
# Realize a full archetype end-to-end (spec → child → seal)
uv run python projects/templates/template_autopoiesis/scripts/realize_child_full.py
# Seal a materialized child with QR provenance
uv run python projects/templates/template_autopoiesis/scripts/seal_child.py
Pitfalls
- Keep scripts thin. Business logic belongs in
src/(grammar.py,expand.py,materialize.py,realize.py,sealing.py,verify.py), not inscripts/. - Recompute, never trust recorded hashes. The whole point of this exemplar is that a child's provenance is re-derived from disk at verify time, not read from a cached manifest.
- No mocks. All tests must use real generated files and real computation.
- Outputs are disposable. Never hand-edit
output/; regenerate from the grammar inmanuscript/config.yaml. - Figure provenance fails closed.
scripts/01_generate_manuscript_assets.pyrequiresoutput/data/coverage_full.jsonand writesoutput/figures/figure_registry.jsononly after all four referenced PNGs exist. - Run from the repo root. Commands assume the template monorepo root as
working directory unless the child
AGENTS.mdstates otherwise.
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.
- 7d ago First seen · 65 lines · 51 tokens per session scan A b66260bb8036
template-autopoiesis 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 677 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.
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