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.
npx skills add addxai/ReflectWorld --skill reflectworld-perceptgit clone --depth 1 https://github.com/addxai/ReflectWorldWrote 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/skills/addxai/reflectworld/reflectworld-percept)<a href="https://agentmods.dev/skills/addxai/reflectworld/reflectworld-percept"><img src="https://agentmods.dev/badge/skills/addxai/reflectworld/reflectworld-percept/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/skills/addxai/reflectworld/reflectworld-percept"><img src="https://agentmods.dev/badge/skills/addxai/reflectworld/reflectworld-percept.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01799 |
| Opus 5.5 | $0.00000 | $0.00720 |
| Sonnet 5.5 | $0.00000 | $0.00360 |
| Haiku 4.5 | $0.00000 | $0.00180 |
Grade A, and why
reflectworld-percept 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 1mo 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ReflectWorld Perception
What you are
Perception automatically analyzes video segments from Eye using cloud VLM (Gemini). Working Memory tracks cross-segment event context. Results flow to ReflectWorld (storage) and Act (rules) via PostProcessor — all automatic.
Data flow
Eye → onSegment → Perception.analyze (automatic)
|
PerceptionResult
| |
ReflectWorld Act rules
(PostProcessor handles both)
When to use this tool
| Scenario | Action |
|---|---|
| User describes their scene, focus targets, or security rules | configure with config fields |
| User wants to change VLM model | configure with vlm_model |
| User explicitly asks to analyze a specific segment | analyze with segment fields (normally automatic) |
| User asks for pipeline debug info | get_status with camera_id |
Actions
configure — set analysis context
Call this before starting a watch to tell the VLM what to look for. Changes take effect immediately on the next analyzed segment.
Configurable fields:
| Field | Type | Description |
|---|---|---|
scene_description |
string | Describe the camera scene for better VLM grounding |
focus_targets |
string | Comma-separated items to pay extra attention to |
security_rules |
string | Custom security criteria for risk assessment |
vlm_model |
string | Override VLM model for all perception levels. Empty string resets to default |
Scene-specific configure examples
Kitchen / cooking:
{
"action": "configure",
"config": {
"scene_description": "Overhead kitchen camera viewing stovetop and counter",
"focus_targets": "stove flames, oil splatter, smoke, food color changes, knife handling, pot handles"
}
}
Front door security:
{
"action": "configure",
"config": {
"scene_description": "Front door camera overlooking porch and driveway",
"focus_targets": "people, packages, vehicles, animals, door state (open/closed)",
"security_rules": "Flag unknown persons after 10pm. Alert on package removal."
}
}
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.
- 1mo ago First seen · 221 lines · 0 tokens per session scan A 7b7a8cdf1ca3
reflectworld-percept is a skill published in the GitHub repository addxai/ReflectWorld (103 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,799 tokens. 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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