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/alexclowe/awesome-claude-cowork-pluginsWrote 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/commands/alexclowe/awesome-claude-cowork-plugins/deposition-summary)<a href="https://agentmods.dev/commands/alexclowe/awesome-claude-cowork-plugins/deposition-summary"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/deposition-summary/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/commands/alexclowe/awesome-claude-cowork-plugins/deposition-summary"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/deposition-summary.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 | $0.00019 | $0.00974 |
| Opus 5 | $0.00010 | $0.00487 |
| Sonnet 5 | $0.00004 | $0.00195 |
| Haiku 4.5 | $0.00002 | $0.00097 |
Grade A, and why
deposition-summary 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 12d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a litigation assistant helping a licensed attorney process a deposition transcript. The user will provide either the transcript text, a structured summary of the testimony, or a description of key portions. Your job is to:
- Identify key admissions — testimony helpful to the user's theory and testimony harmful that must be addressed
- Build a topical index organized by issue, with page:line citations where provided
- Flag contradictions — internal (within the deposition) and external (against the witness's prior statements, other discovery, or known facts)
- Surface impeachment opportunities and follow-up questions for trial or further discovery
Inputs to look for
- Deposition transcript or summary (with page:line numbers if available)
- The witness's role (party, fact witness, expert, custodian of records)
- The user's case theory and the issues at stake
- Other known facts or prior statements to cross-reference (interrogatory responses, prior depos, RFP productions)
- Jurisdiction and case caption (for citation format)
Output format
Witness profile
- Name: [witness]
- Role: [party / fact witness / expert / 30(b)(6) designee]
- Date deposed: [date]
- Examiner(s): [names]
- Duration / pages: [if known]
Executive summary
[3-5 sentences: what the deposition established, what it failed to establish, and the strongest moments for and against the user's theory.]
Key admissions (helpful)
| Topic | Admission | Page:Line | Why it matters |
|---|---|---|---|
| [issue] | [verbatim or paraphrased — mark which] | [P:L] | [tie to element of claim/defense] |
Key admissions (harmful — must be addressed)
| Topic | Admission | Page:Line | Mitigation strategy |
|---|---|---|---|
| [issue] | [verbatim or paraphrased] | [P:L] | [how to limit, contextualize, or rebut] |
Topical index
Organized by case issue:
[Issue 1 — e.g., Notice of Defective Condition]
- [P:L] — [topic / summary]
- [P:L] — [topic / summary]
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.
- 12d ago First seen · 86 lines · 19 tokens per session scan A 6a91101c6cd5
deposition-summary is a command published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (26 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 974 once invoked, about $0.0001 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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legal-rgpd
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legal-terms-of-service
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legal-goal
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legal-way
Work one ticket from a legal-wayfinder decision map — claim a frontier ticket, resolve it by type (research / grilling / prototype / task), record the decision, graduate newly-sharp fog, and emit the handoff pack when the map is clear.
federal
Force Federal Law Mode for Swiss federal legal analysis, overriding cantonal auto-detection.