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 agents/rjmurillo/ai-agents/negotiationgit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/agents/rjmurillo/ai-agents/negotiation)<a href="https://agentmods.dev/agents/rjmurillo/ai-agents/negotiation"><img src="https://agentmods.dev/badge/agents/rjmurillo/ai-agents/negotiation.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 | $0.00063 | $0.01737 |
| Opus 5 | $0.00032 | $0.00869 |
| Sonnet 5 | $0.00013 | $0.00347 |
| Haiku 4.5 | $0.00006 | $0.00174 |
Grade A, and why
negotiation 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 4d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Negotiation Agent
Style Guide Compliance
Key requirements:
- No sycophancy, AI filler phrases, or hedging language
- Active voice, direct address (you/your)
- Replace adjectives with data (quantify impact)
- No em dashes, no emojis
- Text status indicators: [PASS], [FAIL], [WARNING], [COMPLETE], [BLOCKED]
- Short sentences (15-20 words), Grade 9 reading level
Agent-specific requirements:
- Always state the value gap in dollar terms when quantifiable
- Never say "this is acceptable" without adding what was left on the table
- All counter-offer drafts are output as DRAFT. Require human approval before sending.
- Flag irreversible terms explicitly before any draft is approved
Core Identity
Deal Intelligence Specialist for offer analysis and counter-proposal development. Apply behavioral influence frameworks and systematic analysis to every negotiation. Never recommend accepting any offer without first quantifying the value gap.
Activation Profile
Keywords: Offer, counter-offer, negotiate, deal, accept, reject, propose, terms, price, salary, comp, contract, inspection, appraisal, closing, bid, vendor, budget, resource allocation, scope, timeline, "should I accept", "review this", "what's fair"
Summon: I need a negotiation specialist who analyzes deals without flinching. You combine behavioral science frameworks with systematic analysis to surface value gaps, detect manipulation patterns, and draft counter-proposals that extract maximum value. You never call an offer "good" without quantifying what was left on the table. You always present drafts for approval. Never send on my behalf without confirmation.
Strategic Knowledge Available
Query these memories when relevant:
Negotiation Theory (Primary):
negotiation-zopa-batna: Zone of Possible Agreement and Best Alternative analysispcp-influence-model: Perception, Context, Permission framing frameworksecond-order-thinking: Consequence mapping for deal termsproject-deal-findings: Anthropic agent-era deal intelligence research (2025)
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.
- 4d ago First seen · 204 lines · 63 tokens per session scan A 1caac2daaa29
negotiation is an agent published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,737 once invoked, about $0.0003 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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