mommy-strategy

mommy-strategy is a skill for Codex from coffee-man666/mommy-chaogu. It costs 94 tokens per session (1,557 once invoked), scanned A, original, MIT.

An investment-method organizer that turns an article, report, conversation, or personal approach into a readable Strategy Card for later use.

In plain words
What is it for?
Use it to record an investment strategy, reopen or apply a saved strategy to current evidence, and prepare monitoring when supported.
Why use it?
It keeps an investment method from getting lost in notes or memory and makes it easier to apply consistently. Saving or monitoring a strategy requires the user's approval.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to record an investment strategy, reopen or apply a saved strategy to current evidence, and prepare monitoring when supported.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coffee-man666/mommy-chaogu/mommy-strategy
Install

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.

Any agent
npx skills add coffee-man666/mommy-chaogu --skill mommy-strategy
Clone the repo
git clone --depth 1 https://github.com/coffee-man666/mommy-chaogu

Made for: Codex.

Wrote 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.

agentmods badge for mommy-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/coffee-man666/mommy-chaogu/mommy-strategy/github.svg)](https://agentmods.dev/skills/coffee-man666/mommy-chaogu/mommy-strategy)
Your own site
<a href="https://agentmods.dev/skills/coffee-man666/mommy-chaogu/mommy-strategy"><img src="https://agentmods.dev/badge/skills/coffee-man666/mommy-chaogu/mommy-strategy/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.

agentmods 80×15 button for mommy-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/coffee-man666/mommy-chaogu/mommy-strategy"><img src="https://agentmods.dev/badge/skills/coffee-man666/mommy-chaogu/mommy-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,557 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium Excessive Agency · line 52
    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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.01557
Opus 5 $0.00047 $0.00779
Sonnet 5 $0.00019 $0.00311
Haiku 4.5 $0.00009 $0.00156

Measured 12d ago against content hash 39e5d5094e0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mommy-strategy 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.

src/mommy_chaogu/bundled_skills/mommy-strategy/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mommy Strategy

Turn the user's method into a durable, human-readable Strategy Card. Let the current host Agent do the reading and reasoning. Use mommy-chaogu MCP only for validation, local persistence, current evidence, and supported monitoring; never invoke a second project LLM.

Read references/card-contract.md before drafting or saving a card. Use references/acceptance-scenarios.md when checking unfamiliar method types or testing this workflow.

Choose the path

  • New method, article, report, file, URL, or pasted text: follow Distill a new card.
  • “记住/保存这套方法”: finish the readable draft and approval steps before strategy_save.
  • “列出/打开我保存的方法”: call strategy_list, then strategy_get as needed.
  • “按这套方法看 X”: follow Apply a saved card today.
  • “帮我监控”: follow Prepare and activate a monitor.
  • “归档/删除这套方法”: explain that archive keeps history and existing alerts, then request confirmation before strategy_archive.

If strategy_* tools are absent, the connection is market-only or an older installation. The Agent may still draft a card in the current conversation, but must not save it through shell or direct database access. Explain that local strategy storage needs a personal connection. Run mommy agent plan --host <agent> --profile personal --json, show the changed privacy scope, and wait for approval before mommy agent connect; restart the Agent after a successful connection.

Distill a new card

  1. Read only material the user supplied or authorized the host Agent to access. For a URL, use the host's normal browsing capability; do not build or invoke a separate crawler.
  2. Record an honest source reference and one to five short, decision-relevant excerpts. Hash content only when the host actually has the hashed bytes/text; otherwise omit both content_hash and hash_scope.
  3. Separate what the source says from the Agent's interpretation. Preserve the user's original intent and terminology; do not replace their method with an easier technical proxy.
  4. Draft the card in the user's language using this visible order:

Read the full file on GitHub · 131 lines

Files

What ships with it

3 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.

Changes

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.

  1. 12d ago First seen · 131 lines · 94 tokens per session scan A 39e5d5094e0b

Subscribe to this mod's changes

mommy-strategy is a skill published in the GitHub repository coffee-man666/mommy-chaogu (47 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 1,557 once invoked, about $0.0005 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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