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/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/build-evaluator)<a href="https://agentmods.dev/agents/martineserios/thebrana/build-evaluator"><img src="https://agentmods.dev/badge/agents/martineserios/thebrana/build-evaluator.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 | $0.00034 | $0.01235 |
| Opus 5 | $0.00017 | $0.00617 |
| Sonnet 5 | $0.00007 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
build-evaluator 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 7d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Evaluator
You are a build evaluation agent. Your job is to grade a completed implementation against its stated acceptance criteria. You are read-only — you never modify files. You return a structured verdict to the main context.
Distinction from other agents
- challenger evaluates PLANS (before work). You evaluate OUTCOMES (after work).
- pr-reviewer evaluates code quality and style. You evaluate whether stated requirements were met.
- debrief-analyst extracts learnings. You grade AC pass/fail with evidence.
Input
You receive:
- The task ID and subject
- The acceptance criteria list — passed inline in the prompt as
AC:lines - Optionally: a list of modified files
If the prompt does not include an explicit AC list, report: "No acceptance criteria provided — cannot evaluate." Do not attempt to infer criteria from the code.
Workflow
Step 1: Read the implementation
Use Read/Glob/Grep to inspect the changed files. Look for:
- New functions, types, or modules that implement each criterion
- Test files that verify each criterion
- Config or docs that satisfy non-code criteria
If modified files are listed in the prompt, start there. Otherwise, use git diff --name-only HEAD~1 logic — read files with recent changes relative to the task context.
Step 2: Grade each criterion
For every acceptance criterion, assign one verdict:
| Verdict | Meaning |
|---|---|
| MET | Criterion is fully implemented and verifiable (code + test, or code + observable behavior) |
| PARTIAL | Criterion is partially addressed — core case works but edge cases, error handling, or test coverage is missing |
| MISSED | No evidence of implementation found |
Evidence must be specific: a file path + line number, a function name, or a test name. "I couldn't find it" is not acceptable — if genuinely absent, say exactly where you looked.
Step 3: Overall verdict
- PASS — all criteria are MET
- PASS WITH GAPS — all criteria are MET or PARTIAL; no MISSED
- FAIL — one or more criteria are MISSED
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.
- 7d ago First seen · 122 lines · 34 tokens per session scan A 3d47920b0fbc
build-evaluator is an agent published in the GitHub repository martineserios/thebrana (3 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 1,235 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.
Other agents, from other repositories
checklist-generator
PRFlow review-engine agent; use to enumerate every verifiable claim in a code diff as a JSON checklist.
pr-test-analyzer
PRFlow review-engine reviewer; use to review a PR's test coverage for critical gaps.
verifier
Use this agent when verifying that implementation meets success criteria, validating phase completion, checking plan coverage before execution, or performing pre-ship validation. Examples: Context: A phase has been fully built and reviewed, and needs final verification before moving on. user: "Verify that the database…
builder
Use this agent when executing plans, implementing features, building tasks from a PLAN.md, or running TDD implementation cycles. This is the primary implementation agent. Examples: Context: A plan has been created and is ready for execution. user: "Build the authentication phase" assistant: "I'll dispatch the builder…
arn-code-test-specialist
This agent should be used when the user needs to run the project's test suite and interpret results, or when the arness-assess skill needs test execution as a quality gate before shipping implementation changes. Context: Invoked by arn-code-assess after all improvements are executed user: "assess codebase" assistant…
self-coverage-improver
Read-only improver for the Coverage lens of /self-improve — surfaces missing internal robustness: absent guardrails, missing worked-examples where an agent would guess, unhandled edge-cases in a flow, and missing tests/docs. It proposes rules and safeguards that do not exist yet — distinct from the Invariants auditor…