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 jain777/jobclaw-skills --skill coach-negotiationgit clone --depth 1 https://github.com/jain777/jobclaw-skillsWrote 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/jain777/jobclaw-skills/coach-negotiation)<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/coach-negotiation"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/coach-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/jain777/jobclaw-skills/coach-negotiation"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/coach-negotiation.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 | $0.00085 | $0.01434 |
| Opus 5.5 | $0.00034 | $0.00574 |
| Sonnet 5.5 | $0.00017 | $0.00287 |
| Haiku 4.5 | $0.00009 | $0.00143 |
Grade A, and why
coach-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 2mo 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
coach-negotiation
Negotiate honestly, ask for what's reasonable, never auto-send. Hard rules: ../_shared/RULES.md. Leverage rubric: reference/leverage-rubric.md. Verb sourcing per tailor-resume/reference/action-verbs.md (Communication / Management).
Inputs
- Offer (required):
{ "company": "...", "role": "...", "level": "...", "base": 195000, "equity": "...", "bonus": "...", "signing": "...", "location": "...", "deadline": "YYYY-MM-DD | null", "currency": "USD | INR | ..." } - Profile —
profile/master-profile.md. - Market comp — resolve in this order (known-info gate, RULES §6): (a) auto-read
companies/<company-slug>.json(slug the offer's company and look for a priorresearch-companybrief'scompensationblock) → (b) inline--market "<range>"→ (c) a thinWebSearchsweep. Never invent comp numbers. Only ask the user if all three miss — and when you fall back past (a), tell the user "no saved research found for ; pulling a fresh estimate (run/research-companyfor a deeper read)." Never silently re-ask for data a priorresearch-companyrun already captured. - Competing offers (optional, strongest leverage) —
[{company, base, equity, status}].
Method
-
Region pack. Read
knowledge/regions/<code>.mdandknowledge/work-authorization.md:- US: comp = base + equity (4y vest, 1y cliff typical) + bonus + signing; pay-range laws in many states; any component negotiable.
- IN: CTC in LPA (fixed + variable + ESOPs + retention bonus); notice period is part of negotiation; counter-offers more conservative — anchor on fixed CTC.
-
Leverage analysis per
reference/leverage-rubric.md. Score each leverstrong / medium / weak / none:- Competing offers (strongest).
- Recruiter-initiated outreach (medium).
- Niche / verified skill match (medium).
- Tight timeline pressure (the recruiter's, not yours).
- Deadline distance (more time → more room).
- News-driven leverage (recent fundraise → cash; recent layoffs → equity over base).
- Notice period (IN — short notice is bargaining value).
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.
- 2mo ago First seen · 92 lines · 85 tokens per session scan A 86f257908e00
coach-negotiation is a skill published in the GitHub repository jain777/jobclaw-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 85 tokens to every session and 1,434 once invoked, about $0.0003 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 2026-08-31.
coach-negotiation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| coach-negotiationjain777/jobclaw-skills | Skill | 7 | 5mo ago | MIT | A | 85 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |