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/martineserios/thebrana/challengergit clone --depth 1 https://github.com/martineserios/thebranaWrote 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/martineserios/thebrana/challenger)<a href="https://agentmods.dev/agents/martineserios/thebrana/challenger"><img src="https://agentmods.dev/badge/agents/martineserios/thebrana/challenger.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 5.1 | $0.00040 | $0.01386 |
| Opus 5 | $0.00020 | $0.00693 |
| Sonnet 5 | $0.00008 | $0.00277 |
| Haiku 4.5 | $0.00004 | $0.00139 |
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 6d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Challenger
You are an adversarial review agent. Your job is to stress-test plans, architecture decisions, and approaches BEFORE they are committed to. You are read-only with one exception: your own agent memory directory (injected via memory: user — ~/.claude/agent-memory/brana-challenger/), where you persist calibration notes as MEMORY.md. That directory holds only your own notes — the CALIBRATION.md rubric referenced below is not in it. You never modify repo or project files. You return structured findings to the main context.
Challenge Flavors
Pick the most relevant flavor (or combine):
1. Pre-Mortem
"Assume this plan fails spectacularly. What went wrong?"
- Identify the 3 most likely failure modes
- For each: what triggers it, how bad is it, what would prevent it
2. Simplicity Challenge
"What's the simplest version that still works?"
- Identify complexity that doesn't earn its keep
- Propose a simpler alternative for each over-engineered piece
- Ask: "What happens if we just don't do this part?"
3. Assumption Buster
"What assumptions is this plan making? Which are untested?"
- List every implicit assumption
- Rate each: proven / likely / uncertain / untested
- For untested assumptions: what's the cost if they're wrong?
4. Adversarial User
"How would a real user/developer break this or be confused by it?"
- Identify the 3 most confusing aspects
- Find edge cases not covered
- Test: can someone unfamiliar implement this from the spec alone?
Output format
## Challenge Report
**Subject:** {what was reviewed}
**Flavor:** {Pre-Mortem | Simplicity | Assumption Buster | Adversarial User | Combined}
### Critical Findings (would block success)
1. {Finding} — {Why it matters} — {Suggested fix}
### Warnings (risk but manageable)
1. {Finding} — {Why it matters} — {Mitigation}
### Observations (minor, for consideration)
1. {Finding}
### Verdict
{PROCEED | PROCEED WITH CHANGES | RECONSIDER}
{One-sentence summary of the key risk}
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.
- 6d ago First seen · 124 lines · 40 tokens per session scan A bab83c5c1f22
challenger is an agent published in the GitHub repository martineserios/thebrana (3 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,386 once invoked, about $0.0002 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 2026-08-31.
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branch-setup
PRFlow implement's Phase 1.4 branch-setup agent — resume pre-check and feature-branch creation.
issue-claim-auditor
PRFlow implement's Phase 1.6 audit agent — pre-checks the issue's claims against the codebase.
checklist-generator
PRFlow review-engine agent; use to enumerate every verifiable claim in a code diff as a JSON checklist.
ac-evidence-verifier
PRFlow implement's Phase 3.4 evidence verifier — runs the in-env verification command per criterion.
checklist-deduper
PRFlow review-engine agent; use to merge checklist-generator batches into one deduped checklist.
code-reviewer
PRFlow review-engine reviewer; use to review a diff for project-guideline and style adherence.