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 event4u-app/agent-config --skill contracts-cognitiongit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/contracts-cognition)<a href="https://agentmods.dev/skills/event4u-app/agent-config/contracts-cognition"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/contracts-cognition/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/event4u-app/agent-config/contracts-cognition"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/contracts-cognition.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 | $0.00043 | $0.02441 |
| Opus 5.5 | $0.00017 | $0.00976 |
| Sonnet 5.5 | $0.00009 | $0.00488 |
| Haiku 4.5 | $0.00004 | $0.00244 |
Grade A, and why
contracts-cognition 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 1mo 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
contracts-cognition
When to use
- A draft MSA / DPA / SOW / vendor contract / partner agreement lands and a non-lawyer needs to read it for what it actually constrains, which clauses carry real risk, and what to redline first.
- An existing contract is being renegotiated; the question is which clauses are now misshapen given current scale, regulatory regime, or customer mix.
- A new customer contract triggers obligations (SLA, indemnity, audit, data-handling) that need to be sized against operational capacity before signing.
Do NOT use as a substitute for actual legal counsel (this skill produces the non-lawyer cognition that prepares the conversation with counsel, not the legal opinion), for privacy-specific review (route to privacy-review (P6); this skill composes P6 for data clauses), or for contract management software / e-signature operations.
Cognition cluster
- Mental model 28 — Inversion. "What would force us to invoke this clause? What would force the counterparty to invoke it?" Inversion surfaces which clauses are dormant boilerplate vs which are loaded triggers. See
mental-models.md§ 28. - Mental model 21 — Second-order thinking. Each clause has a second-order shape: indemnity caps interact with insurance coverage; SLAs interact with operating-cost; auto-renewal interacts with switching cost. Reading clauses in isolation misses the load-bearing combinations. See
mental-models.md§ 21. - Mental model 26 — Optionality. Each clause either preserves or forecloses future choices (terminate-for-convenience preserves; auto-renewal forecloses; exclusivity forecloses; MFN forecloses). The cost of a clause is the optionality it removes. See
mental-models.md§ 26. - Context-spine — regulatory-regime + customer-segment + org-stage. Read regulatory-regime (J1) for floor-bound clauses (GDPR DPA terms, HIPAA BAA, SOC 2 audit). Read customer-segment for risk sizing (enterprise SLA terms ≠ SMB SLA terms). Read org-stage for what's affordable (early-stage = avoid uncapped indemnities; growth = can absorb tighter SLAs).
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.
- 1mo ago First seen · 157 lines · 43 tokens per session scan A d7989e0c7816
contracts-cognition is a skill published in the GitHub repository event4u-app/agent-config (16 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 2,441 once invoked, about $0.0002 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 2026-09-03.
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