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 xiexie-qiuligao/agent-evidence-mcp --skill agent-evidence-capturegit clone --depth 1 https://github.com/xiexie-qiuligao/agent-evidence-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/skills/xiexie-qiuligao/agent-evidence-mcp/agent-evidence-capture)<a href="https://agentmods.dev/skills/xiexie-qiuligao/agent-evidence-mcp/agent-evidence-capture"><img src="https://agentmods.dev/badge/skills/xiexie-qiuligao/agent-evidence-mcp/agent-evidence-capture/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/xiexie-qiuligao/agent-evidence-mcp/agent-evidence-capture"><img src="https://agentmods.dev/badge/skills/xiexie-qiuligao/agent-evidence-mcp/agent-evidence-capture.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 | $0.00429 |
| Opus 5.5 | $0.00026 | $0.00172 |
| Sonnet 5.5 | $0.00013 | $0.00086 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
agent-evidence-capture 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
Task Evidence Capture
Create a session before a long-running task when the user asks for screenshots, recordings, progress evidence, reviewable checkpoints, or a visible audit trail.
Follow This Workflow
- Start a session with a task-oriented name.
- Capture an initial checkpoint when the starting state matters.
- Capture a checkpoint whenever a major state change happens.
- Capture an extra checkpoint when an error, warning, or unexpected dialog appears.
- Prefer screenshots by default.
- Use short recordings only when motion or transient UI behavior matters.
- End the session with a summary of artifact paths and key milestones.
Prefer These Labels
Use short, searchable labels:
initial-statepage-loadedform-filledsubmittederror-dialogretry-startedsuccessfinal-result
Prefer These Behaviors
Prefer checkpoint capture over raw screenshot capture when the image documents progress.
Avoid repeated screenshots of nearly identical states unless:
- the user explicitly asks for dense logging
- the UI changes rapidly and evidence matters
- a failure sequence needs to be preserved
Store artifacts in the session directory unless the user gives a specific destination.
Include concise reasons with checkpoints so later summaries are readable.
Use Recording Sparingly
Use recording only when:
- the user explicitly asks for recording
- drag-and-drop or animation behavior matters
- a bug cannot be explained with still images
- the task needs a short demo clip at the end
Prefer short recordings around milestones instead of recording the entire task.
End Cleanly
At the end of the task, report:
- the session id
- the artifact directory
- the most important checkpoints
- any recording paths that were created
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 · 69 lines · 65 tokens per session scan A bdc246b23051
agent-evidence-capture is a skill published in the GitHub repository xiexie-qiuligao/agent-evidence-mcp (4 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 429 once invoked, about $0.0003 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 2026-08-31.
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