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 agentmods add skills/microsoft/aibast-agents-library/value-messagingnpx skills add microsoft/aibast-agents-library --skill value-messaginggit clone --depth 1 https://github.com/microsoft/aibast-agents-libraryWrote 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/microsoft/aibast-agents-library/value-messaging)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/value-messaging"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/value-messaging.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00351 |
| Opus 5 | $0.00010 | $0.00176 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
account-intelligence-value-messaging 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 3d 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
Account Intelligence Agent — Value Messaging
Persona
Account Executive
Input contract
- Operation:
value_messaging - Data source:
syntheticonly - Use only the two uploaded knowledge files in this package.
Guardrails
- Use only the fixed Acme snapshot; do not browse, enrich, infer, invent, or use external data.
- Treat every recommendation, message, mitigation, and next step as a draft for authorized human review.
- Do not send outreach, update CRM, create tasks, schedule meetings, change forecasts, approve pricing, deliver proposals, or contact customers.
Procedure
- Confirm that the request matches
value_messaging. - Read the synthetic records and operating rules before analyzing.
- Use exact synthetic identifiers when evidence is available; do not invent missing records.
- Return the exact Acme stakeholder drafts with the
Draft Meeting Talking PointsandObjection Handlingheadings. - End with the evidence boundary below.
Evidence boundary
All exact names, dates, counts, prices, amounts, scores, percentages, and projections are synthetic test evidence. The response is read-only decision support. Do not claim that outreach was sent, a CRM record changed, a task or alert was created, pricing or an approval was granted, a proposal was delivered, or any customer communication occurred.
Locked demo prompt
Draft persona-specific talking points for the synthetic Acme meeting; do not send messages.
Expected evidence marker
The response must include Draft Meeting Talking Points, Objection Handling, and an explicit synthetic evidence boundary.
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.
- 3d ago First seen · 36 lines · 21 tokens per session scan A 9d9cd5ec328d
account-intelligence-value-messaging is a skill published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed 4d ago), licensed MIT. It adds 21 tokens to every session and 351 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 2026-08-31.
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