Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Finance & Trading
Funky Fund Flamingo
Repair-first self-evolution for OpenClaw — audit logs, memory, and skills; run measurable mutation cycles. Get paid. Evolve. Repeat. Dolla dolla bill y'all.
skill openclawclawhub Free
Repair-first self-evolution for OpenClaw — audit logs, memory, and skills; run measurable mutation cycles. Get paid. Evolve. Repeat. Dolla dolla bill y'all.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- ADL.md, README.md, SKILL.md, TREE.md, VFM.md, agents/openai.yaml
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- IceMasterT
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
🦩 Funky Fund Flamingo — Make That Paper
Use this skill when you're ready to get paid. We inspect reality, kill breakage and value leaks, and run mutation cycles that produce concrete gains — so the stack earns, not just runs.
When To Use
Runtime logs are screaming and you need structured repair so shit works and keeps making money. The agent is stable but stagnating — time for a deliberate capability mutation that moves the needle. You want one execution plan that combines logs + memory + skills into a cycle that pays off. You need continuous relay mode (--loop / --funky-fund-flamingo) so evolution runs in the background and the revenue keeps flowing.
Inputs And Context
Session logs: ~/.openclaw/agents/<agent>/sessions/*.jsonl Workspace memory: MEMORY.md, memory/YYYY-MM-DD.md, USER.md Installed skills list from workspace skills/ Optional environment overrides from ../../.env
Entrypoints
Main runner: index.js Prompt builder and cycle logic: evolve.js Run from workspace root: node skills/funky-fund-flamingo/index.js run Run from inside this skill directory: node index.js run
Execution Modes
# single cycle — one shot, max impact node index.js run # alias command node index.js /evolve # human confirmation before significant edits (protect the bag) node index.js run --review # prompt generation only (writes prompt artifact to memory dir) node index.js run --dry-run # continuous relay — keep the money printer running node index.js --loop node index.js run --funky-fund-flamingo
Cycle Contract
Each cycle should: Inspect recent session transcript — find breakages, repetition, value leaks. Read memory + user context so evolution is aligned with what actually pays. Select mutation mode (repair, optimize, expand, instrument, personalize). Produce actionable mutation instructions and reporting so you see the ROI. Persist state (memory/evolution_state.json) and optionally schedule the next loop. Persist long-term evolution learning (memory/funky_fund_flamingo_persistent_memory.json) so strategy compounds and the bag gets bigger.
Safety Constraints (Protect the Bag)
No destructive git/file ops unless explicitly requested. Repair and reliability first when instability is detected — downtime = no revenue. Respect review mode before applying significant edits. Keep changes scoped and explainable; no no-op cycles that burn compute for nothing. Local-only execution: no publish, no push to remote git, no external tool spawning without intent.
External Endpoints
URLData sentPurposeNone (from this skill's code)—This skill's Node.js code does not open sockets or make HTTP requests. It only reads/writes local files. Important: The repo includes agent config templates (agents/openai.yaml, agents/openrouter.yaml) for use by an OpenClaw (or other) agent. When you run an agent that uses this skill with a cloud model (OpenAI, OpenRouter, etc.), that agent will send the prompts this skill builds — which can include excerpts from session logs, memory, and workspace context — to the provider's API. So "local-only" applies to the skill binary itself; if the skill is invoked by an agent backed by a third-party LLM, data can leave the machine via that agent. To stay fully local, run node index.js run (or --dry-run) without routing the generated prompt through a cloud model.
Security & Privacy
Reads: Session logs under ~/.openclaw/agents/<agent>/sessions/*.jsonl, workspace MEMORY.md, memory/, USER.md, and the skills/ directory. Writes: memory/evolution_state.json, memory/funky_fund_flamingo_persistent_memory.json, and optionally prompt artifacts in the memory dir. This skill does not push or publish anywhere; any outbound data is only via whatever agent/model stack you choose to run. No network from skill code: The skill itself does not open sockets or make HTTP requests.
Optional environment variables
No env vars are required. The following are optional overrides (see evolve.js / README): VariablePurposeTypical defaultAGENT_NAMEAgent session folder under ~/.openclaw/agents/mainMEMORY_DIRDirectory for evolution state and persistent memoryworkspace memory/TARGET_SESSION_BYTESMax bytes read from latest session log64000LOOP_MIN_INTERVAL_SECONDSMin delay between loop cycles900MAX_MEMORY_CHARS, MAX_TODAY_LOG_CHARS, MAX_PERSISTENT_MEMORY_CHARSContent caps for promptssee evolve.jsECONOMIC_KEYWORDSComma-separated keywords for value scoringbuilt-in listEVOLVE_REPORT_DIRECTIVE, EVOLVE_EXTRA_MODES, EVOLVE_ENABLE_SESSION_ARCHIVEBehavior tweaks—
Model invocation
Evolution can be run manually (node index.js run) or by an agent that uses this skill. In relay mode (--loop / --funky-fund-flamingo), this process only plans and writes prompts; it does not call any model API. If you run an agent that consumes this skill with OpenAI/OpenRouter/etc., that agent will perform the model calls. To avoid sending local context to a provider, run the skill in --dry-run and do not feed the generated prompt to a cloud model.
Master directive and mutation pressure
The master directive (funky-fund-flamingo-master-directive.json) sets must_evolve_each_cycle and no_op_forbidden, which push every cycle toward making a concrete change. That can increase how often local files are mutated. For lower risk, prefer --review (confirm before significant edits) or --dry-run (prompt generation only, no writes). You can also edit or override the directive to relax these flags.
Trust Statement
By using this skill, you run Node.js code that reads and writes files in your OpenClaw workspace and agent session directories. This skill's code does not send data to third parties; if an agent that uses this skill calls a cloud LLM, that agent (not this skill binary) sends the prompt. Only install if you trust the skill source (e.g. ClawHub and the publisher).
Supporting References
ADL.md — anti-degeneration so we don't break the money printer VFM.md — value-focused mutation: only changes that pay TREE.md — capability topology and revenue-ready nodes .clawhub/FMEP.md (forced mutation execution policy)
Minimal Verification
node index.js --help Dolla, dolla bill y'all. 🦩
Category context
Trading, swaps, payments, treasury, liquidity, and crypto-financial operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs1 Config
- SKILL.md
- ADL.md
- README.md
- TREE.md
- VFM.md
- agents/openai.yaml