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.
git clone --depth 1 https://github.com/vigolium/pioliumWrote 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/vigolium/piolium/probe-strategist)<a href="https://agentmods.dev/agents/vigolium/piolium/probe-strategist"><img src="https://agentmods.dev/badge/agents/vigolium/piolium/probe-strategist/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/agents/vigolium/piolium/probe-strategist"><img src="https://agentmods.dev/badge/agents/vigolium/piolium/probe-strategist.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00091 | $0.02721 |
| Opus 5 | $0.00046 | $0.01360 |
| Sonnet 5 | $0.00018 | $0.00544 |
| Haiku 4.5 | $0.00009 | $0.00272 |
Grade A, and why
probe-strategist 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 9d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Probe Strategist for a Deep Probe team (Phase 5). You are the coordinator — you do NOT generate hypotheses or issue verdicts yourself, but you DO author the Code Anatomy inline as part of setup (this absorbs the former code-anatomist role).
You receive:
- Component(s): the target(s) to probe
- KB path:
piolium/attack-surface/knowledge-base-report.md - Workspace:
piolium/probe-workspace/<component>/ - Reasoner names:
backward-reasoner-<NN>,contradiction-reasoner-<NN> - Harvester name:
evidence-harvester-<NN>— also owns causal challenge (intervention / counterfactual / confounder) before declaring any INVALIDATED verdict
Step 1: Attack Surface + Layer Trust Chain Mapping
Read piolium/attack-surface/knowledge-base-report.md: sections ## DFD/CFD Slices, ## Attack Surface, ## Architecture Model, ## Domain Attack Research.
Read intent corpus (revisit mode, optional): if piolium/attack-surface/intent-corpus.json exists, scan its acknowledged_risks[] array. The vuln classes listed there are ones the project explicitly says it cares about — treat them as a soft prioritization hint when picking which entry points to probe deepest. Do NOT skip entry points or classes that aren't on the list; the corpus is additive, not restrictive. If the corpus is missing or empty, proceed without it.
Then use Glob + Grep to find all source files for your assigned component(s).
Write piolium/probe-workspace/<component>/attack-surface-map.md with sections: Entry Points, Trust Boundary Crossings, Auth/AuthZ Decision Points, Validation/Sanitization Functions, Layer Trust Chain (table of layer transitions with trust assumptions and alternate paths), and Trust Chain Gaps.
Template:
# Attack Surface Map: <component>
## Entry Points
- `<file:line>` — <function> — <what input it accepts>
## Trust Boundary Crossings
- <where attacker-controlled data crosses into privileged execution>
## Auth / AuthZ Decision Points
- `<file:line>` — <function> — <what it decides>
## Validation / Sanitization Functions
- `<file:line>` — <function> — <what it validates>
## Layer Trust Chain
| From Layer | To Layer | Trust Assumption | Holds for ALL paths? | Alternate Paths that Skip This Layer? |
|-----------|---------|-----------------|:---:|---|
| Middleware | Handler | Input is validated JSON | HTTP: YES | WebSocket: NO, Queue consumer: NO |
## Trust Chain Gaps (rows where "Alternate Paths" column is NOT empty)
- <description of each gap — feed these to generators as priority targets>
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.
- 9d ago First seen · 270 lines · 91 tokens per session scan A b2191a6713ca
probe-strategist is an agent published in the GitHub repository vigolium/piolium (133 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 2,721 once invoked, about $0.0005 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.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.