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 meikocho1/alchemy-marketing-skills --skill market-recongit clone --depth 1 https://github.com/meikocho1/alchemy-marketing-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/meikocho1/alchemy-marketing-skills/market-recon)<a href="https://agentmods.dev/skills/meikocho1/alchemy-marketing-skills/market-recon"><img src="https://agentmods.dev/badge/skills/meikocho1/alchemy-marketing-skills/market-recon/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/meikocho1/alchemy-marketing-skills/market-recon"><img src="https://agentmods.dev/badge/skills/meikocho1/alchemy-marketing-skills/market-recon.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 | $0.00220 | $0.01564 |
| Opus 5 | $0.00110 | $0.00782 |
| Sonnet 5 | $0.00044 | $0.00313 |
| Haiku 4.5 | $0.00022 | $0.00156 |
Grade A, and why
market-recon 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Recon — go look, don't assume
cultural-context gives you hypotheses about how a market thinks. This skill checks them against reality by going and looking — because your model's idea of "the German funeral market" or "how Thai buyers judge premium" is a stale average, and the cheap edge is in the specifics only local sources show. Stated stereotype is as unreliable as stated preference: gather revealed, current, sourced data.
The principle
Perception is local and current, so it has to be observed, not recalled. Two failure modes to avoid:
- Reasoning from the stereotype. "Japanese buyers value quality" is true and useless — it doesn't tell you what this category's leaders actually signal, or what the price band is this year. Go find the specifics.
- Reading the market in the wrong language. English-language summaries of a non-English market are a translation of a translation. Search in the local language, read local sources, note the words locals actually use.
What to gather (the recon checklist)
Aim each search at a lever the moves will pull:
- Local players & positioning — who leads this category in this place, how they describe themselves, what promise they lead with. (feeds reframing)
- Price band & framing — the real range, and how price is shown (per-day, all-in, tiered, hidden until contact). (feeds reframing)
- Trust signals in use — guarantees, certifications, longevity claims, awards, the local proof-of-credibility everyone leans on. (feeds costly-signaling)
- Trust locus & reviews — where buyers actually check: which review platforms, forums, associations, or personal/institutional channels. (feeds costly-signaling)
- Category conventions & taboos — the unwritten "you must / you never" of this category here, plus regulations and sacredness lines. (constrains every move)
- Felt-moment pain points — what local buyers complain about in the journey (found in reviews, forums, complaints). (feeds experience-design)
- Local terminology — the exact words buyers and sellers use, for copy that sounds native rather than translated.
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.
- 12d ago First seen · 61 lines · 220 tokens per session scan A 25fa225900bb
market-recon is a skill published in the GitHub repository meikocho1/alchemy-marketing-skills (3 stars, last pushed 10d ago), licensed MIT. It adds 220 tokens to every session and 1,564 once invoked, about $0.0011 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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