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SKILL verified Apache-2.0 Self-run

Infrastructure Sia

skill-docxology-template-sia · by docxology

Skill for the Self-Improvement Agent (SIA) harness contract. Use when validating task public/private layouts, generation artifact trees, evaluation runners, fixture replay loops, or opt-in live Meta→Target→Feedback cycles in template projects.

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Install

$ agentstack add skill-docxology-template-sia

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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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 inputs
  • data/public/task.md — required task description (validate_task_dir hard-fails if absent)
  • data/public/evaluate.py — writes results.json with metric_name, metric_value, n_samples
  • data/private/ — evaluation-only labels
  • reference/ — baseline target agent (reference/reference_target_agent.py required)

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.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.