Install
$ agentstack add skill-docxology-template-sia ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
SIA Harness
Deterministic harness for Meta → Target → Feedback generation loops with public/private task splits. Implements contracts inspired by hexo-ai/sia; does not vendor upstream code.
Commands
uv run python -m infrastructure.sia.cli validate projects/templates/template_sia/tasks/mini_classify
uv run python -m infrastructure.sia.cli inspect-run RUN_SUMMARY_JSON [--json]
uv run python scripts/02_run_analysis.py --project templates/template_sia
Public API
from infrastructure.sia import (
RunConfig,
TaskLayout,
load_agent_execution,
run_evaluation,
run_sia_loop,
validate_task_dir,
)
Task layout
Each task directory exposes:
data/public/— agent-visible inputsdata/public/task.md— required task description (validate_task_dirhard-fails if absent)data/public/evaluate.py— writesresults.jsonwithmetric_name,metric_value,n_samplesdata/private/— evaluation-only labelsreference/— baseline target agent (reference/reference_target_agent.pyrequired)
Exemplar project
[projects/templates/template_sia/](../../projects/templates/template_sia/) runs fixture replay by default (live=False). Pass --live-sia on scripts/run_sia_loop.py for opt-in Ollama-backed feedback (not CI) — the feedback note is illustrative, not applied; live mode performs no code mutation and uses no sandbox, so cross-generation improvement is shown only via fixtures.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: docxology
- Source: docxology/template
- License: Apache-2.0
- Homepage: https://doi.org/10.5281/zenodo.19139090
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.