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 skills add rjmurillo/ai-agents --skill 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/skills/rjmurillo/ai-agents/negotiation)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/negotiation"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/negotiation/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/rjmurillo/ai-agents/negotiation"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/negotiation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00078 | $0.01254 |
| Opus 5 | $0.00039 | $0.00627 |
| Sonnet 5 | $0.00016 | $0.00251 |
| Haiku 4.5 | $0.00008 | $0.00125 |
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 6d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Negotiation Skill
Codifies deal intelligence behavior. Use when reviewing any offer or
designing how an agentic system should analyze and counter-propose.
The full crystallized skill set lives in references/skills.md.
Triggers
| Phrase | Context |
|---|---|
review this offer |
Real estate, compensation, vendor, resource allocation |
what's the value gap |
Quantification request |
draft a counter |
Counter-proposal drafting |
should I walk |
Walkaway analysis |
anchor first or wait |
Information-asymmetry decision |
Skip when:
- The change is descriptive ("explain how anchoring works") rather than applied. Use a knowledge response, not the skill.
- The artifact is not an offer or counter (e.g., a status update).
Process
Apply the RADAR protocol in order. Skipping a step is the most common failure mode and the rule against it is load-bearing.
Phase 1: Read
Extract every term in the offer. List anchors, hedging, urgency signals, omissions. Do not interpret yet.
Phase 2: Analyze
Map ZOPA, BATNA, information asymmetry, value gap. Quantify the gap
in dollars before any qualitative language. See
references/skills.md Skill-Negotiation-001.
Phase 3: Design
Draft PCP framing (Perception, Context, Permission) before producing a number. Whoever defines the frame controls the negotiation. See Skill-Negotiation-003.
Phase 4: Assess
Run the invisible-disadvantage check. Compare risk of countering vs. accepting. Apply the anchor-first decision rule (Skill-Negotiation-008) and BATNA discipline (Skill-Negotiation-009).
Phase 5: Review
Produce a DRAFT counter with explicit human approval gate. Specific closing pattern from Skill-Negotiation-010 applies once verbal agreement is reached.
Verification
Output is acceptable when ALL of the following hold:
- Offer net value, achievable value, and gap are quantified in dollars (Skill-Negotiation-001 implementation block).
- At least one written-signal observation from Skill-Negotiation-007 is cited if the offer arrived in writing.
- Counter-proposal carries PCP framing in the output, not just a number (Skill-Negotiation-003).
- BATNA worksheet (Skill-Negotiation-009) is filled before the first counter goes out.
- Bundling rule (Skill-Negotiation-005) is honored: no single-dimension concession appears in the counter.
- Final output is marked DRAFT and waits for explicit human approval before sending.
- If routed through an agentic system, the negotiation analysis runs on a senior-tier model (Skill-Negotiation-006).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 131 lines · 78 tokens per session scan A 9753ad450c2b
negotiation is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 1,254 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
stock-analyzer
A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report. Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations with risk assessment and actionable trading strategies.
stock-explorer
A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate technical indicator reports (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs a text summary.
bionic-safety-net
Unified survival infrastructure: health, finance, legal safety, circuit breakers, and structural protection against all ruin classes. The last line of defense.
structural-trading-gate
Unified zero-emotion variance shield for capital markets (FX, crypto, CFDs) and poker. Absorbs trading-risk-gate + zenith-execution + trade-journal-analyzer into one engine.
ci-cd
A guide for designing automated build and delivery workflows with GitHub Actions. These workflows can run checks such as tests, code-quality scans, coverage checks, and builds when code is pushed or a pull request is opened.
yahoo-finance
Retrieve public Yahoo Finance market, company, financial, ownership, and analyst data through authorized access.