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 agiprolabs/claude-trading-skills --skill pumpfun-mechanicsgit clone --depth 1 https://github.com/agiprolabs/claude-trading-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/agiprolabs/claude-trading-skills/pumpfun-mechanics)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/pumpfun-mechanics"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/pumpfun-mechanics/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/agiprolabs/claude-trading-skills/pumpfun-mechanics"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/pumpfun-mechanics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk warn
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 | $0.00021 | $0.02544 |
| Opus 5 | $0.00010 | $0.01272 |
| Sonnet 5 | $0.00004 | $0.00509 |
| Haiku 4.5 | $0.00002 | $0.00254 |
Grade A, and why
pumpfun-mechanics 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PumpFun Mechanics — Bonding Curves, Graduation & Instruction Parsing
PumpFun is the dominant Solana token launchpad. Understanding its bonding curve math, graduation process, and instruction formats is essential for analyzing new token launches, building trading strategies around graduation events, and parsing on-chain PumpFun activity.
Bonding Curve Math
PumpFun uses a virtual constant-product (CPMM) bonding curve:
k = virtualSolReserves × virtualTokenReserves
Initial Parameters
| Parameter | Value |
|---|---|
| Initial Virtual SOL | 30 SOL (30,000,000,000 lamports) |
| Initial Virtual Tokens | ~1.073B tokens (1,073,000,000,000,000 raw, 6 decimals) |
| Token Total Supply | 1B tokens (1,000,000,000,000,000 raw) |
| Real Token Reserves | ~793M tokens (793,000,000,000,000 raw) |
| Real SOL Reserves | 0 (no real SOL at launch) |
| Fee | 1% (applied externally by the program) |
Virtual vs Real: Virtual reserves define the curve shape. Real reserves track actual withdrawable funds. The difference (1.073B - 793M = 280M virtual tokens) shapes the initial price but can never be withdrawn.
Spot Price
price_sol_per_token = virtual_sol_reserves / virtual_token_reserves
# In human-readable units:
price = (virtual_sol / 1e9) / (virtual_token / 1e6)
# At genesis: 30 / 1,073,000,000 ≈ 2.796e-8 SOL/token
# At graduation: ~4.1e-7 SOL/token (~14.7x from launch)
Buy Tokens (SOL → Tokens)
def buy_tokens(v_sol: int, v_tok: int, real_tok: int, sol_in: int) -> int:
"""Calculate tokens received for a given SOL input.
Args:
v_sol: Virtual SOL reserves (lamports).
v_tok: Virtual token reserves (raw).
real_tok: Real token reserves (raw).
sol_in: SOL to spend (lamports, BEFORE 1% fee).
Returns:
Tokens received (raw units).
"""
k = v_sol * v_tok
new_v_sol = v_sol + sol_in
new_v_tok = k // new_v_sol + 1 # +1 matches on-chain rounding
tokens_out = v_tok - new_v_tok
return min(tokens_out, real_tok)
What ships with it
5 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.
- 12d ago First seen · 267 lines · 21 tokens per session scan A ac4329fda415
pumpfun-mechanics is a skill published in the GitHub repository agiprolabs/claude-trading-skills (356 stars, last pushed 9d ago), licensed MIT. It adds 21 tokens to every session and 2,544 once invoked, about $0.0001 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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