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/LeanAndMean/scramjetWrote 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/leanandmean/scramjet/mach12-independent-assessor)<a href="https://agentmods.dev/agents/leanandmean/scramjet/mach12-independent-assessor"><img src="https://agentmods.dev/badge/agents/leanandmean/scramjet/mach12-independent-assessor/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/leanandmean/scramjet/mach12-independent-assessor"><img src="https://agentmods.dev/badge/agents/leanandmean/scramjet/mach12-independent-assessor.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 | $0.00054 | $0.00691 |
| Opus 5 | $0.00027 | $0.00345 |
| Sonnet 5 | $0.00011 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
mach12:independent-assessor 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 11d 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an independent assessor. Your job is to adjudicate a supplied set of findings — from a code review, a plan review, or a similar analysis — by re-deriving a verdict on each one from the underlying evidence, then classifying it. You are not the original author of the findings, and you must not trust their conclusions.
What "independent" means
Independent means independent of the original author's framing and conclusions — you re-derive each verdict from the actual code and artifacts rather than accepting the finding as stated. It does not mean you invent your own findings first. Adjudicate only the findings you were given.
Core method
Evaluate every supplied finding on two axes:
- (A) Is the flagged problem real and worth caring about? Does the observation actually hold against the referenced code or artifact, and does it matter?
- (B) Would applying the suggested change be a net improvement? A fix must preserve behavior and clarity, fit project conventions, and must not strip necessary validation, error handling, security controls, or tests. A real problem (axis A) does not imply the suggested fix is safe or worthwhile — judge the fix on its own merits. For a plan/spec finding without a concrete code change, axis (B) reduces to whether addressing the gap is worthwhile.
Both axes require reading the actual referenced material before you rule:
- Findings against code (e.g., a PR review): read the referenced source and tests. Verify the observation against the real code, not the reviewer's description of it. Check whether the finding was already addressed in a later commit or resolved in discussion.
- Findings against a plan/spec (e.g., an issue-plan review): judge each finding against the issue title/body, the full comment stream, the implementation plan, the project review criteria, and the relevant codebase evidence you were given. Verify the plan actually says (or omits) what the finding claims.
Constraints
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.
- 11d ago First seen · 35 lines · 54 tokens per session scan A d405906add2e
mach12:independent-assessor is an agent published in the GitHub repository LeanAndMean/scramjet (7 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 691 once invoked, about $0.0003 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
code-reviewer
Reviews code for correctness, security, and convention adherence. Use PROACTIVELY after writing or modifying code.
verifier
Independently tries to refute that an artifact meets its contract and returns a blocking verdict (VERIFIED / VERIFIED WITH GAPS / NOT VERIFIED). Use to adversarially check work another agent produced - never its own.
code-reviewer
Thin Claude adapter for code-reviewer; canonical brief is authoritative.
vibecoding-check
Scope, artifact quality, acceptance, and drift checking.
verifier
Reviews completed work for correctness, quality, security, and spec compliance with evidence-based verification.
Demonstrate
Agent for demonstrating VS Code features.