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 zja0011/edgesentinel-visionops --skill investigate-removed-itemgit clone --depth 1 https://github.com/zja0011/edgesentinel-visionopsWrote 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/zja0011/edgesentinel-visionops/investigate-removed-item)<a href="https://agentmods.dev/skills/zja0011/edgesentinel-visionops/investigate-removed-item"><img src="https://agentmods.dev/badge/skills/zja0011/edgesentinel-visionops/investigate-removed-item/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/zja0011/edgesentinel-visionops/investigate-removed-item"><img src="https://agentmods.dev/badge/skills/zja0011/edgesentinel-visionops/investigate-removed-item.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 | $0.00052 | $0.00334 |
| Opus 5.5 | $0.00021 | $0.00134 |
| Sonnet 5.5 | $0.00010 | $0.00067 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
investigate-removed-item 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 2mo 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.
What it actually says
Investigate a removed item
Use this workflow when the user asks whether an object was removed, asks to investigate a removal, or asks who took an object.
- Call
event.querywithevent_type=OBJECT_REMOVED, a boundedlimit, and the exact detectorobject_classwhen the user states one. - If an event is returned and more detail or evidence integrity is necessary,
call
event.get_detailandevidence.verify_eventfor the same most relevant exactevent_idtogether in one model response. Do not spread these independent reads across separate model rounds. - Report whether evidence is valid, but never claim that integrity verification identifies a person.
- Keep every conclusion tied to Tool results. A removal event proves a count change, not who caused it. If no identity evidence exists, explicitly say that the responsible person cannot be determined.
- Do not call tools outside
required_tools. Do not acknowledge events, capture snapshots, restart the camera, generate files, or perform cleanup.
Answer in the user's language. Include event time, camera, zone, object class, count change, disposition, and evidence status only when those fields are available. State when data is stale, absent, incomplete, or outside the query window.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 29 lines · 52 tokens per session scan A 04a736054c39
investigate-removed-item is a skill published in the GitHub repository zja0011/edgesentinel-visionops (21 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 334 once invoked, about $0.0002 per session on Opus 5.5. 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.
investigate-removed-item compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| investigate-removed-itemzja0011/edgesentinel-visionops | Skill | 21 | 2mo ago | Apache-2.0 | A | 52 | Codex |
| figma-useHaohao-end/openagent | Skill | 748 | yesterday | MIT | A | 114 | Codex |
| cli-creatorHaohao-end/openagent | Skill | 748 | yesterday | MIT | A | 82 | Codex |
| skillAnionex/dsh-vision-toolkit | Skill | 927 | 10d ago | MIT | A | 0 | Claude Code, Codex |
| cloudflare-deployHaohao-end/openagent | Skill | 748 | yesterday | MIT | A | 43 | Codex |
| vercel-deployHaohao-end/openagent | Skill | 748 | yesterday | MIT | A | 47 | Codex |
| chatgpt-appsHaohao-end/openagent | Skill | 748 | yesterday | MIT | A | 96 | Codex |