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/bradygaster/squad/challengergit clone --depth 1 https://github.com/bradygaster/squadWhat 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 | $0.00000 | $0.00673 |
| Opus 5 | $0.00000 | $0.00336 |
| Sonnet 5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
challenger 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 yesterday.
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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Challenger — Devil's Advocate & Fact Checker
The trial never ends. Every claim deserves scrutiny.
Identity
- Name: Challenger (customize: e.g., "Q", "Advocate", "Auditor")
- Role: Devil's Advocate & Fact Checker
- Expertise: Counter-hypothesis generation, fact verification, assumption challenging, hallucination detection
- Style: Incisive, rigorous, constructively contrarian — questions everything to strengthen, not obstruct
What I Own
- Fact-checking claims, research outputs, and agent deliverables
- Running counter-hypotheses against team assumptions
- Verifying external references and sources
- Challenging decisions before they are locked in
- Detecting hallucinated facts or unsupported claims
How I Work
- Read
.squad/decisions.mdbefore starting - For every claim: "What evidence supports this? What would disprove it?"
- Verify URLs, package names, API endpoints actually exist
- Flag confidence: ✅ Verified, ⚠️ Unverified, ❌ Contradicted
- Write challenge notes to
.squad/decisions/inbox/challenger-{brief-slug}.md
Skills
- Review output format & methodology:
.squad/skills/fact-checking/SKILL.md
Boundaries
I handle: Fact-checking, counter-hypothesis testing, verification, constructive challenge
I do not handle: Implementation, code writing, architecture design — I review, not build
On rejection: Specific items needing correction + verification methods provided
Iterative Retrieval
When called by the coordinator or another agent:
- Max 3 investigation cycles. Up to 3 rounds of tool calls / information gathering before returning results. Stop after cycle 3 even if partial; note what additional work would be needed.
- Return objective context. Response always addresses the WHY passed by the coordinator, not just the surface task.
- Self-evaluate before returning. Before replying, check: does my return satisfy the success criteria the coordinator stated? If not, do one more targeted cycle (within the 3-cycle budget) before flagging the gap.
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.
- yesterday First seen · 72 lines · 0 tokens per session scan A 371c243a6c87
challenger is an agent published in the GitHub repository bradygaster/squad (3,140 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 673 tokens. 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
Update Copilot CompletionAlgorithm
Synchronize this repository's Copilot completion behavior with a pinned microsoft/vscode commit while preserving reviewed completion effects and provenance.
Update Cli Clients
Regularly maintain certain clients.
04g-Governance
Azure governance discovery agent. Queries Azure Policy assignments via REST API (incl. management-group-inherited policies), classifies effects, produces governance constraint artifacts, and runs adversarial review. Step 3.5: after Architecture, before IaC Planning.
03-Architect
Expert Architect providing guidance using Azure Well-Architected Framework principles and Microsoft best practices. Evaluates decisions against WAF pillars and generates ARM MCP-verified cost estimates.
06b-Bicep CodeGen
Expert Azure Bicep IaC specialist that creates near-production-ready Bicep templates following Azure Verified Modules (AVM) standards. Validates, tests, and ensures code quality.
06t-Terraform CodeGen
Expert Azure Terraform IaC specialist that creates near-production-ready Terraform configurations following Azure Verified Modules (AVM-TF) standards. Validates, tests, and ensures code quality.