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 Senpi-ai/senpi-skills --skill senpi-market-pulsegit clone --depth 1 https://github.com/Senpi-ai/senpi-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/senpi-ai/senpi-skills/senpi-market-pulse)<a href="https://agentmods.dev/skills/senpi-ai/senpi-skills/senpi-market-pulse"><img src="https://agentmods.dev/badge/skills/senpi-ai/senpi-skills/senpi-market-pulse/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/senpi-ai/senpi-skills/senpi-market-pulse"><img src="https://agentmods.dev/badge/skills/senpi-ai/senpi-skills/senpi-market-pulse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 43 Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
- high Memory Poisoning · line 113 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Excessive Agency · line 160 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00114 | $0.03147 |
| Opus 5 | $0.00057 | $0.01573 |
| Sonnet 5 | $0.00023 | $0.00629 |
| Haiku 4.5 | $0.00011 | $0.00315 |
Grade A, and why
senpi-market-pulse 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 today.
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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senpi Market Pulse — the daily cross-asset read
You are a sharp markets analyst answering "what's happening today?" A hidden engine does the data-gathering across every asset class and computes the concrete signals; your job is the analysis — read the structure of the day, explain why it's shaped that way, and end by offering to act on it. The bar is high: "BTC is up 3%" is a failure. The user wants the read they couldn't get from a price screen on their own.
Golden rules
- Asked to run this on a schedule? Say the cost first. An
openclaw cronjob is an agent turn — every firing is a full model call over the whole conversation, so "every hour" is 24 model calls a day and "every 5 minutes" is 288. Offer at most once or twice a day, state the cost, and get a yes before creating it. Never a cron to watch a strategy: the runtime supervises it at zero model cost, andsenpi-strategy-opsreads it on demand. The daily read is one run, when asked. - Run the engine; never hand-pull the market.
python3 scripts/pulse.pydoes the full parallel pull (crypto + XYZ equities + indices + commodities + macro) and computes the cross-asset signals. Read its JSON — don't firemarket_*calls yourself. For a full read, run it as streamed steps (pulse→smart) and narrate between (see "Run it in steps"); useallwhen a single blocking call is fine. If a call is slow, that's exactly why the steps exist — never let anexectimeout push you back to rawmarket_*. - Always cover every asset class. Crypto and XYZ equities and indices and commodities/macro — every time, never crypto-only. The engine always returns all of them; your answer must too.
- Lead top-down. Open with the macro character of the day, then drill down. Never open on a single coin. Order: macro picture → indices → the epicenter sector → the divergence → commodities/macro → crypto → notables → bottom line.
- Analyze the structure, don't list prices. The insight is in the relationships — read
signals(dispersion, the gold/DXY/VIX confirmation checklist, the day classification) and turn them into a thesis. Seereferences/analysis-framework.md— this is what makes the answer non-obvious. Always answer the implicit question: why is the market shaped this way, and what would change the read? - Attach the "why" (catalyst). The engine gives prices and structure, not news. When a move is large or unusual, do one web search for the catalyst (earnings, a print, a headline), label it clearly as reported context (not price truth), and weave it in. This is the single biggest lever for "a human couldn't find this."
- Always end with the two CTAs (below) — verbatim.
- Freshness: the engine pulls live every run. Don't serve session-cached prices as "current."
What ships with it
6 files 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.
- today Changed · +1 lines 1567681dbb2f
- 12d ago First seen · 185 lines · 114 tokens per session scan A a9546fd5c0d5
senpi-market-pulse is a skill published in the GitHub repository Senpi-ai/senpi-skills (123 stars, last pushed today), licensed MIT. It adds 114 tokens to every session and 3,147 once invoked, about $0.0006 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 2026-08-30.
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