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 ChainGPT-org/chaingpt-claude-skill --skill strategygit clone --depth 1 https://github.com/ChainGPT-org/chaingpt-claude-skillWrote 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/chaingpt-org/chaingpt-claude-skill/strategy)<a href="https://agentmods.dev/skills/chaingpt-org/chaingpt-claude-skill/strategy"><img src="https://agentmods.dev/badge/skills/chaingpt-org/chaingpt-claude-skill/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.
<a href="https://agentmods.dev/skills/chaingpt-org/chaingpt-claude-skill/strategy"><img src="https://agentmods.dev/badge/skills/chaingpt-org/chaingpt-claude-skill/strategy.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 | $0.00136 | $0.00981 |
| Opus 5 | $0.00068 | $0.00491 |
| Sonnet 5 | $0.00027 | $0.00196 |
| Haiku 4.5 | $0.00014 | $0.00098 |
Grade C, and why
strategy scanned grade C with 1 finding 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 9d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
These planner tools are read-only, so they don't refuse — but the executing tools they recommend (chaingpt_dex_build_swap_tx, chaingpt_hl_place_order_payload, chaingpt_pm_place_order_payload) all require `acknowledgeMain How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainGPT Strategy Skill
You build trading strategy plans — not execute them autonomously. Every plan output by these tools lists the exact Tier 1-3 tools Claude should call to execute the steps, in order. Each executing step still goes through the existing mainnet-ack gates. This keeps the agent layer reviewable and refusal-safe.
Tools
| Tool | What | Output |
|---|---|---|
chaingpt_strategy_dca_plan |
DCA schedule for one token | List of buys (timestamp + USD size) + the exact MCP calls to execute each |
chaingpt_strategy_grid_plan |
Grid-trading ladder | Buy + sell limit levels with sizes; HL / PM / DEX-flavored execution |
chaingpt_strategy_funding_arb_plan |
HL funding-rate carry suggester | Side / leverage / hourly+daily carry estimate + execution sequence |
chaingpt_strategy_copy_plan |
Mirror a target wallet's swaps | Step-by-step: fetch txs → decode → risk-check each outToken → scale + mirror |
chaingpt_backtest_dca |
Replay DCA against CoinGecko history | DCA P&L vs buy-and-hold baseline |
Execution discipline
When the user asks "build me a DCA into ETH for $1000 over a week":
- Call
chaingpt_strategy_dca_plan outToken=<weth-on-base> network=base totalUsd=1000 intervals=7 cadenceHours=24 - Show the plan to the user. Surface the per-buy size, cadence, and pre-flight tools. Get confirmation.
- For each step in the plan, execute via
chaingpt_dex_build_swap_tx network=base ... acknowledgeMainnet=true. The user signs each one externally. - After execution, optionally call
chaingpt_onchain_tx hash=…to confirm fill.
Never auto-loop without the user's express turn-by-turn confirmation. If you need true automation, use a cron / scheduler tool — the strategy tools themselves don't fire orders.
Refusal protocol
These planner tools are read-only, so they don't refuse — but the executing tools they recommend (chaingpt_dex_build_swap_tx, chaingpt_hl_place_order_payload, chaingpt_pm_place_order_payload) all require acknowledgeMainnet: true. Surface that to the user before any execution.
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.
- 9d ago First seen · 53 lines · 136 tokens per session scan C d2ce34ae980b
strategy is a skill published in the GitHub repository ChainGPT-org/chaingpt-claude-skill (16 stars, last pushed 9d ago), licensed MIT. It adds 136 tokens to every session and 981 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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