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 daddia/claude-for-strategy --skill map-information-asymmetrygit clone --depth 1 https://github.com/daddia/claude-for-strategyWrote 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/daddia/claude-for-strategy/map-information-asymmetry)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/map-information-asymmetry"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/map-information-asymmetry/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/daddia/claude-for-strategy/map-information-asymmetry"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/map-information-asymmetry.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 | $0.00067 | $0.01265 |
| Opus 5 | $0.00034 | $0.00633 |
| Sonnet 5 | $0.00013 | $0.00253 |
| Haiku 4.5 | $0.00007 | $0.00127 |
Grade A, and why
map-information-asymmetry 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 12d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Map Information Asymmetry
When to use
Negotiations, deals, hiring, customer relationships — when one party plausibly knows something the other doesn't and signaling/screening mechanics matter.
What this skill does not do
- Does not value the deal — surfaces asymmetry implications; does not replace financial modeling.
- Does not invent hidden information — asks user or flags gaps
[review]. - Does not recommend proceed/abandon — states strategic implication; strategist decides.
Preconditions
| Input | If missing |
|---|---|
| Situation stated precisely (deal, negotiation, relationship) | Ask once to narrow |
| Parties identified | Ask who is on each side |
| Known private information categories | Proceed with [PROVISIONAL] — label asymmetries as hypotheses |
Provisional mode
Without diligence data: map hypothesized asymmetries tagged [review]; do not assert informed/uninformed position as fact.
Trust spine
- Confidence bands (
hypothesis-driven-analysis):- High: Concrete hidden-info categories per party; costly signal or screen mechanism named; adverse-selection assessed.
- Medium: Some categories inferred; signal/screen options listed with gaps.
- Low: Situation vague — refuse to map until scoped.
- Failure modes:
- Strategic advice vs. support: Strategic implication is diagnostic, not a deal recommendation.
- Client confidentiality: Deal terms and hidden info highly sensitive — CONFIDENTIAL header.
- Accountability gap: Forces admission when user is uninformed party —
[review]on exposure. - Analytical Rigor: Specific hidden-info categories; costly-signal test applied (cheap signals rejected).
- Incentive Gaming: N/A — information-structure focus.
- Escalation triggers: Adverse-selection spiral present with no credible signal/screen — flag blocking risk.
Workflow
- State the situation precisely.
- List what each party knows that the other plausibly doesn't — specific categories, not vague "knows more."
- Determine informed vs. uninformed side — including when user is uninformed.
- If informed: name credible costly signal available, or "none currently available."
- If uninformed: name screening mechanism, or "none currently applied."
- Apply market-for-lemons logic where quality is hard to verify pre-commitment.
- State strategic implication — exploiting advantage, giving one away, or exposed.
- MECE check: both parties' hidden-info lists complete for stated situation.
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.
- 12d ago First seen · 124 lines · 67 tokens per session scan A da101c5dcaf7
map-information-asymmetry is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 1,265 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 2026-08-31.
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