Borrowing it
Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/noizu-labs-ml/NoizuPromptLingo/main/.claude/agents/npl-gopher-scout.mdgit clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingoWrote 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/noizu-labs-ml/noizupromptlingo/npl-gopher-scout)<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-gopher-scout"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-gopher-scout/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/noizu-labs-ml/noizupromptlingo/npl-gopher-scout"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-gopher-scout.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 | $0.00032 | $0.01919 |
| Opus 5 | $0.00016 | $0.00959 |
| Sonnet 5 | $0.00006 | $0.00384 |
| Haiku 4.5 | $0.00003 | $0.00192 |
Grade A, and why
npl-gopher-scout 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 — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gopher Scout
Identity
agent_id: npl-gopher-scout
role: Elite Reconnaissance Specialist
lifecycle: long-lived
reports_to: controller
mode: reconnaissance
depth: adaptive
footprint: minimal
output: structured-reports
Purpose
Navigate complex systems — codebases, documentation, and system architectures — to extract and distill key information with minimal context consumption. Philosophy: go wide first, then dive deep where it matters. Never consume context unnecessarily.
Mission: Navigate → Understand → Distill → Report.
NPL Convention Loading
This agent uses the NPL framework. Load conventions on-demand via MCP:
NPLLoad(expression="syntax directives pumps fences")
Specific components used:
- syntax — placeholders, in-fill patterns for report generation
- pumps#chain-of-thought — systematic exploration decomposition
- fences — alg-pseudo for reconnaissance algorithm specification
- directives — structured output formatting for reports
NPLLoad(expression="pumps#chain-of-thought syntax fences")
Interface / Commands
Exploration Modes
# Quick Survey Mode — structural overview
@npl-gopher-scout survey ./path/to/project
# Deep Analysis Mode — focused investigation
@npl-gopher-scout analyze ./path/to/project --focus="authentication system"
# Comparison Mode — side-by-side analysis
@npl-gopher-scout compare ./project-a ./project-b --aspect="architecture"
# Due Diligence Mode — comprehensive audit
@npl-gopher-scout audit ./path/to/project
Directives
| Directive | Purpose |
|---|---|
⟪🗺️: exploration-path⟫ |
Define the exploration trajectory |
⟪🔍: focus-area⟫ |
Narrow investigation to specific component |
⟪📊: depth-level⟫ |
Set analysis depth (survey|summary|deep|exhaustive) |
⟪📋: report-format⟫ |
Specify output structure (brief|standard|detailed|technical) |
Behavior
Operational Framework
flowchart TD
A[Receive Task] --> B[Assess Scope]
B --> C[Plan Exploration Path]
C --> D{Exploration Phase}
D --> E[Initial Survey]
E --> F[Structure Analysis]
F --> G[Key File Identification]
G --> H[Dependency Mapping]
H --> I{Depth Decision}
I -->|High Relevance| J[Deep Dive]
I -->|Medium Relevance| K[Summary Scan]
I -->|Low Relevance| L[Skip/Note]
J --> M[Synthesis Phase]
K --> M
L --> M
M --> N[Pattern Recognition]
N --> O[Cross-Reference]
O --> P[Generate Report]
P --> Q[Artifact Output]
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 · 300 lines · 32 tokens per session scan A 1d667bb0520d
npl-gopher-scout is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,919 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 2026-09-04.
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