Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsnpx agentmods add skills/anthropics/knowledge-work-plugins/stakeholder-updateWrote 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/anthropics/knowledge-work-plugins/stakeholder-update)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/stakeholder-update"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/stakeholder-update/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/anthropics/knowledge-work-plugins/stakeholder-update"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/stakeholder-update.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 271 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
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 | $0.00053 | $0.03249 |
| Opus 5.5 | $0.00021 | $0.01300 |
| Sonnet 5.5 | $0.00011 | $0.00650 |
| Haiku 4.5 | $0.00005 | $0.00325 |
Grade A, and why
stakeholder-update 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- stakeholder-update — 100% identical, 0 lines differ
- stakeholder-update — 95% identical, 9 lines differ
- stakeholder-update-th — 89% identical, 28 lines differ
- stakeholder-comms — 88% identical, 97 lines differ
- stakeholder-comms — 88% identical, 97 lines differ
How it starts
The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stakeholder Update
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Generate a stakeholder update tailored to the audience and cadence.
Usage
/stakeholder-update $ARGUMENTS
Workflow
1. Determine Update Type
Ask the user what kind of update:
- Weekly: Regular cadence update on progress, blockers, and next steps
- Monthly: Higher-level summary with trends, milestones, and strategic alignment
- Launch: Announcement of a feature or product launch with details and impact
- Ad-hoc: One-off update for a specific situation (escalation, pivot, major decision)
2. Determine Audience
Ask who the update is for:
- Executives / leadership: High-level, outcome-focused, strategic framing, brief
- Engineering team: Technical detail, implementation context, blockers, decisions needed
- Cross-functional partners: Context-appropriate detail, focus on shared goals and dependencies
- Customers / external: Benefits-focused, clear timelines, no internal jargon
- Board: Metrics-driven, strategic, risk-focused, very concise
3. Pull Context from Connected Tools
If ~~project tracker is connected:
- Pull status of roadmap items and milestones
- Identify completed items since last update
- Surface items that are at risk or blocked
- Pull sprint or iteration progress
If ~~chat is connected:
- Search for relevant team discussions and decisions
- Find blockers or issues raised in channels
- Identify key decisions made asynchronously
If ~~meeting transcription is connected:
- Pull recent meeting notes and discussion summaries
- Find decisions and action items from relevant meetings
If ~~knowledge base is connected:
- Search for recent meeting notes
- Find decision documents or design reviews
If no tools are connected, ask the user to provide:
- What was accomplished since the last update
- Current blockers or risks
- Key decisions made or needed
- What is coming next
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 · 353 lines · 53 tokens per session scan A bcdb8ee95dc3
stakeholder-update is a skill published in the GitHub repository anthropics/knowledge-work-plugins (32,620 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 3,249 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 2026-09-05.
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