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 agentmods add skills/painhardcore/pstack/hownpx skills add painhardcore/pstack --skill howgit clone --depth 1 https://github.com/painhardcore/pstackWhat 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 | $0.00025 | $0.00572 |
| Opus 5 | $0.00013 | $0.00286 |
| Sonnet 5 | $0.00005 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
how 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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
How
Build a working mental model from the code. Explain entry points, data flow, ownership, boundaries, and non-obvious behavior. Use why when the user wants historical motivation.
Choose the mode
- Explain. Trace and explain the current system.
- Critique. Explain first, then identify architectural problems and practical improvements.
Treat one module or symbol as simple. Treat a flow across several modules or services as complex.
Explore
For a simple question, inspect and explain inline.
For a complex question, divide the system into two to four non-overlapping slices. If the host supports subagents and the user permits them, assign each slice to a read-only subagent using the parent model. Use different available models only for an explicitly requested multi-model critique. If delegation is unavailable or forbidden, inspect the slices inline in the same order.
Each slice must:
- Find the real entry point.
- Trace callers, callees, state, and types from input to output.
- Read code instead of inferring behavior from file names.
- Record specific files and symbols.
- Note behavior a newcomer would probably misunderstand.
Use references/explorer-prompt.md for delegated exploration and references/explainer-prompt.md for synthesis.
Explain
Reconcile the slices into one account. Resolve contradictions by reading the code. Do not paste raw exploration reports.
Use only the sections the question needs:
- Overview. What the subsystem does and why it exists.
- Key concepts. The small set of types, services, or abstractions needed to follow the flow.
- How it works. The trigger, ordered steps, decisions, state changes, and output.
- Where things live. The files and symbols a maintainer should open first.
- Gotchas. Hidden state, surprising coupling, or edge cases.
Critique
Explain the system before judging it. When permitted, ask two or more read-only critics to assess the same explanation and source files independently. Prefer different available model families when the host supports model selection. Otherwise perform one inline critique against the same rubric.
What ships with it
4 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.
- yesterday First seen · 57 lines · 25 tokens per session scan A f73a445093d9
how is a skill published in the GitHub repository painhardcore/pstack (1 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 572 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 2026-08-31.
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