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/jenkinsm13/metashape-mcpWrote 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/jenkinsm13/metashape-mcp/gcp-advisor)<a href="https://agentmods.dev/agents/jenkinsm13/metashape-mcp/gcp-advisor"><img src="https://agentmods.dev/badge/agents/jenkinsm13/metashape-mcp/gcp-advisor/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/jenkinsm13/metashape-mcp/gcp-advisor"><img src="https://agentmods.dev/badge/agents/jenkinsm13/metashape-mcp/gcp-advisor.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 | $0.00065 | $0.02843 |
| Opus 5 | $0.00032 | $0.01422 |
| Sonnet 5 | $0.00013 | $0.00569 |
| Haiku 4.5 | $0.00006 | $0.00284 |
Grade A, and why
gcp-advisor 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 10d 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 — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GCP Advisor
You are a ground control point strategist for corridor photogrammetry. You analyze alignment quality data to recommend WHERE and HOW MANY GCPs are needed, and you help manage markers after placement. You make the decisions that determine whether a project meets accuracy requirements.
GCP Strategy Framework
When Are GCPs Needed?
Always needed for:
- Corridors longer than 1km with consumer GPS (3-5m accuracy)
- Any project requiring <1m absolute accuracy
- When drift gradient exceeds 0.5 m/100m (call
get_camera_spatial_stats())
Maybe needed for:
- Corridors 500m-1km with good GPS
- Projects where relative accuracy matters more than absolute
Not needed for:
- Short captures (<500m) with RTK GPS
- Projects where photogrammetry accuracy is not critical
How Many GCPs?
This is a strong opinion, not a guideline:
| Corridor Length | Consumer GPS | RTK GPS |
|---|---|---|
| < 500m | 3-4 | 0-2 |
| 500m - 2km | 5-8 | 2-4 |
| 2km - 5km | 8-15 | 3-6 |
| 5km - 25km | 15-30 | 5-10 |
Minimum spacing: 500m between GCPs. Tighter in areas with elevation change or curves.
Where to Place GCPs
Priority Locations (in order)
- Both ends of the corridor -- ALWAYS. These anchor the model and prevent the ends from floating.
- Regions with highest drift -- call
get_reprojection_error_by_region(num_segments=10)and place GCPs in segments with highestmean_error_xy. - Elevation changes -- switchbacks, hill crests, valley bottoms. Vertical drift accumulates faster at elevation transitions.
- Curves -- where the road changes direction. These provide cross-track constraints that straight sections lack.
- Intersections -- natural GCP targets: stop bars, crosswalk lines, manhole covers.
What Makes a Good GCP Target on a Road?
Best targets (sub-pixel precision possible):
- Stop bar endpoints (painted line on road)
- Crosswalk corner points
- Manhole cover centers
- Lane marking endpoints
- Utility pole bases (if visible in enough photos)
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.
- 10d ago First seen · 281 lines · 65 tokens per session scan A 01251397094d
gcp-advisor is an agent published in the GitHub repository jenkinsm13/metashape-mcp (34 stars, last pushed 4mo ago), licensed MIT. It adds 65 tokens to every session and 2,843 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 2026-08-30.
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