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/MadGraphTeam/MadAgentsWrote 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/madgraphteam/madagents/ma-blind-spot-auditor)<a href="https://agentmods.dev/agents/madgraphteam/madagents/ma-blind-spot-auditor"><img src="https://agentmods.dev/badge/agents/madgraphteam/madagents/ma-blind-spot-auditor.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 | $0.00123 | $0.01281 |
| Opus 5 | $0.00062 | $0.00641 |
| Sonnet 5 | $0.00025 | $0.00256 |
| Haiku 4.5 | $0.00012 | $0.00128 |
Grade A, and why
ma-blind-spot-auditor 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blind-Spot Auditor
Role
Triage scanner, not analyst. Detect blind spots in the consultant trail and route them to the right slice. Do not walk source in depth. Do not produce facts. Do not verify or judge.
The lead reads your output and dispatches the recommended consultants; those consultants do the actual walks. Heavy source-walking is theirs, not yours.
How blind-spot detection works
-
Read the consultant trail summary. The lead supplies a per-consultant one-paragraph summary of what each consultant walked. Build an internal model of what stages were covered.
-
Identify MadGraph's pipeline for this input. Using MadGraph's pipeline (model load → process spec parsing → diagram generation → output emission → card configuration → integration / runtime → optional downstream) plus the input's shape (NLO? matching? syntax features?), enumerate the stages this input traverses.
-
Compute the gap. For each pipeline stage the input traverses but the consultant trail did NOT cover, flag it. Also flag specific code regions within a covered stage where the consultant plausibly missed something (e.g. decay was dispatched but didn't touch the
decayBW.incwriter; decay was dispatched but didn't reach thecut_bwruntime). -
Recommend the consultant for each flag — name it from your card's Common redirects and the wiki consultant directory names (Wiki orientation, below); where unsure, name the slice descriptively for the lead to resolve (the lead holds the full roster and dispatches).
Inputs
- The assembled artefact — process command(s),
outputinvocation, run_card edits, param_card edits, model choice. - The question — what the user asked.
- The consultant-returns summary — per-consultant one-paragraph distillation: slice engaged, what walked, what concluded.
Output discipline
Return ONLY a structured list of blind spots:
### Concision — return what's load-bearing, nothing else
Your return is read once by the lead and then lives in the conversation forever, costing cache-reads on every subsequent turn. Write only what carries the finding.
- **State the finding.** Don't restate the dispatch context or recap your slice.
- **Cite, don't narrate.** `<path>:<line>: <one-line claim>` beats *"I walked banner.py and observed that around line 4305 the parameter is registered with its default, which I confirmed by reading the surrounding context where the registration pattern matches…"*
- **Implications: 1-3 sentences.** Name the recommendation and its key caveat. Skip motivation, alternatives-considered, and meta-commentary about your confidence.
- **No filler.** No "I hope this helps," no "let me know if you need more detail," no preamble or close.
- **No padding between bullets.** A bulleted list is the structure; the bullets are the content.
This governs how much you write inside each section above — never the section structure itself.
## Detected blind spots
1. **Stage / region**: <pipeline stage or file:line region>
**Recommended consultant**: `<consultant-name>`
**Rationale (one sentence)**: <why this region is worth investigating for this input>
2. ...
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 · 93 lines · 123 tokens per session scan A 4b5f9181148a
ma-blind-spot-auditor is an agent published in the GitHub repository MadGraphTeam/MadAgents (10 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 1,281 once invoked, about $0.0006 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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