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 OpenLAIR/OpenSkill --skill evo-pddl-solvergit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-pddl-solver)<a href="https://agentmods.dev/skills/openlair/openskill/evo-pddl-solver"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pddl-solver/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/openlair/openskill/evo-pddl-solver"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pddl-solver.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 | $0.00051 | $0.00428 |
| Opus 5 | $0.00026 | $0.00214 |
| Sonnet 5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
evo-pddl-solver 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 yesterday.
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.
What it actually says
evo-pddl-solver
Solves PDDL planning problems using unified_planning with pyperplan backend, with direct pyperplan fallback.
Key Functions
solve_pddl_task(domain_path, problem_path, timeout=300)- Main entry pointsolve_with_unified_planning(domain_path, problem_path, timeout=300)- UP-based solvingsolve_with_pyperplan_direct(domain_path, problem_path, timeout=300)- Direct pyperplansolve_with_fallback_strategies(domain_path, problem_path, timeout=300)- Try all strategies
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-pddl-solver/scripts')
from utils import solve_pddl_task
plan = solve_pddl_task('domain.pddl', 'problem.pddl', timeout=300)
# Returns list of strings like: ["action_name(param1, param2, ...)", ...]
Strategy
- Uses unified_planning PDDLReader to parse PDDL files
- Invokes pyperplan via UP with GBFS + hFF (fastest satisficing config)
- Falls back to default pyperplan config if GBFS+hFF fails
- Falls back to direct pyperplan invocation if UP integration fails
- Returns plan as list of "action_name(param1, param2, ...)" strings
Airport Domain Notes
- Airport domain files must be STRIPS versions (not ADL)
- Uses not_blocked/not_occupied predicates instead of negation
- Large instances may cause memory issues - pyperplan is pure Python
- GBFS + hFF is the recommended strategy for satisficing planning
- unified_planning lowercases all names during parsing
What ships with it
1 file 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.
- yesterday First seen · 44 lines · 51 tokens per session scan A 8fa76a88a227
evo-pddl-solver is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 51 tokens to every session and 428 once invoked, about $0.0003 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 2026-09-11.
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