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/docxology/template/test-creationnpx skills add docxology/template --skill test-creationgit clone --depth 1 https://github.com/docxology/templateWhat 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 | $0.00047 | $0.00494 |
| Opus 5 | $0.00023 | $0.00247 |
| Sonnet 5 | $0.00009 | $0.00099 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
template-test-creation 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 2d 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
Test creation
Natural invoke
- "Add tests for projects/templates/template_code_project/src/optimizer.py"
- "Raise coverage on infrastructure/validation to pass 60% gate"
- "Test this CLI with subprocess, no mocks"
Inputs to confirm
- Code under test — module/path.
- Layer — infrastructure (60%) vs project (90%).
Workflow
-
No mocks — never
unittest.mock,MagicMock, or patch the unit under test. Use real computation,tmp_path, local HTTP servers, subprocess for CLIs. -
Structure —
test_*.pymirroring src modules; parametrize variants; fixed RNG seeds. -
Coverage — run pytest-cov; meet floor for layer.
-
Integration — wire into
projects/<n>/tests/ortests/infra_tests/following existing layout.
Deliverables
- Test file(s) with passing run and coverage report excerpt
- Note any opt-in markers (
requires_latex,requires_ollama)
Verification commands
uv run pytest path/to/test_file.py -v
uv run pytest projects/<project>/tests/ --cov=projects/<project>/src --cov-fail-under=90
uv run pytest tests/infra_tests/path/ --cov=infrastructure --cov-fail-under=60
When NOT to use
- Implement feature + tests together → feature-addition or code-development
References
What ships with it
5 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.
- 2d ago First seen · 64 lines · 47 tokens per session scan A c5d7295fcd0a
template-test-creation is a skill published in the GitHub repository docxology/template (19 stars, last pushed 2d ago), licensed Apache-2.0. It adds 47 tokens to every session and 494 once invoked, about $0.0002 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.
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