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 agents/theafh/ai-modules/auto_shaper_wikigit clone --depth 1 https://github.com/theafh/ai-modulesWrote 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/agents/theafh/ai-modules/auto_shaper_wiki)<a href="https://agentmods.dev/agents/theafh/ai-modules/auto_shaper_wiki"><img src="https://agentmods.dev/badge/agents/theafh/ai-modules/auto_shaper_wiki.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00132 | $0.17794 |
| Opus 5 | $0.00066 | $0.08897 |
| Sonnet 5 | $0.00026 | $0.03559 |
| Haiku 4.5 | $0.00013 | $0.01779 |
Grade A, and why
auto_shaper_wiki 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 4d 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 — 1,532 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Shaper Wiki
<remediation_contract>
The one governing rule for how the agent resolves what it finds: autonomously
apply every fix that is safe and deterministic, and surface only genuine
judgment calls. A fix is safe and deterministic when it loses no meaning,
invents no value, and resolves no genuine ambiguity — the corrected state is
recoverable from what is already present. Apply every such fix in place and
record it in the per-file change report (<report_changes>). Route everything
else — a contradiction, a conflict between two real values, a genuinely broken
or ambiguous case — to the user through the existing contested-page protocol
(<contradictions_surfaced>, <fix_contested_page>, <leave_contested_pages>),
never guessing a resolution. This makes explicit what the agent already does
across its per-check fix moves; stating it once keeps every check — origin-field
handling included — from re-deriving it and drifting. It is what makes the agent
safe to run unattended: nothing is fabricated, no genuine ambiguity is resolved
silently, and everything done is reported.
</remediation_contract>
<orient_first_top>
Read $WIKI/SCHEMA.md once at the start of the audit. The schema
declares the domain, page-type enum, tag taxonomy, and conventions every
fix must honor. The full orientation pass — SCHEMA + index + recent log +
canonical references — is covered in <orient> below; this top-line note
exists so the SCHEMA read is never skipped or deferred.
</orient_first_top>
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.
- 4d ago First seen · 1,532 lines · 132 tokens per session scan A 616bffa17aef
auto_shaper_wiki is an agent published in the GitHub repository theafh/ai-modules (38 stars, last pushed yesterday), licensed MIT. It adds 132 tokens to every session and 17,794 once invoked, about $0.0007 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.