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/ololand-ai/ololand-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/ololand-ai/ololand-plugins/deal-health)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/deal-health"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/deal-health/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/ololand-ai/ololand-plugins/deal-health"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/deal-health.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 | $0.00023 | $0.00406 |
| Opus 5 | $0.00012 | $0.00203 |
| Sonnet 5 | $0.00005 | $0.00081 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
deal-health 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 10d 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
Deal Health
Use this command when the user asks "what is the state of this deal?", "what is blocking us?", "prep me for the Monday meeting", or asks to add/list critical actions.
Usage
/deal-health <deal_id>
/deal-health <deal_id> actions [open|in_progress|blocked|done]
/deal-health <deal_id> create-action "Pull AR aging from seller" priority=high
Execution
- Call
mcp__ololand__get_deal_health_summary(deal_id)first. - If the user asks for actions or blockers, call
mcp__ololand__list_deal_actionswith optionalstatusorpriority. - If the user asks to add an action, confirm the title and priority, then call
mcp__ololand__create_deal_action. - If the answer needs supporting evidence, pair this with
mcp__ololand__search_deal_documentsormcp__ololand__search_extracted_knowledgeand cite the result.
Output
Render:
- Overall status: score, status, and recommendation.
- Dimensions: financial, risk, operational scores and the reason each is high/low.
- Open actions: count and top five action items.
- Risk count: high/medium/low risks from the health payload.
- Next action: what should happen before the next IC/workstream review.
Guardrails
- Do not treat a health score as IC approval. Pair IC readiness with
/ic-approve-readiness. - When creating actions, keep titles concrete and owner-ready.
- Use tool-returned
view_urlvalues instead of hand-building app links.
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.
- 10d ago First seen · 41 lines · 23 tokens per session scan A 4dc7fd404726
deal-health is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 6d ago), licensed Apache-2.0. It adds 23 tokens to every session and 406 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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earned-value-mgmt
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Create Strategic Outline Business Case (SOBC) using UK Government Green Book 5-case model.
cost-center
Cost management and billing — timesheets, budgets, forecasting, invoicing.
review-goals
Review all active financial goals, update their progress, flag at-risk goals, and recommend adjustments. Reads from and writes to financial-goals/active/.
gsd:add-backlog
Add an idea to the backlog parking lot (999.x numbering).