agentmods.dev

opensession: Skill for Claude Code

.agents/skills/pstack/SKILL.md

pstack is a skill for Claude Code, Codex from tellahq/opensession. It costs 41 tokens per session (2,027 once invoked), scanned A, original, MIT.

A structured engineering mode for investigating, building, reviewing, and shipping code changes with a short checklist and real verification.

In plain words
What is it for?
Use it for implementation, debugging, code review, and release tasks that benefit from a small, explicit working process.
Why use it?
It keeps nontrivial coding work focused and requires checking the actual result before calling it finished.

Skill for Claude CodeCodex

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is tellahq/opensession's own configuration. It tells Claude Code and Codex how to work on opensession itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything opensession configures →

not rated 399repo +2 changed 1mo ago A scan SkillSpector: pass 41 tokens original MIT
View source ↗ tellahq/opensession opensession.com
Reuse

Borrowing it

Nothing to install: this file belongs to tellahq/opensession. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tellahq/opensession/main/.agents/skills/pstack/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tellahq/opensession

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pstack

README.md
[![agentmods](https://agentmods.dev/badge/skills/tellahq/opensession/pstack/github.svg)](https://agentmods.dev/skills/tellahq/opensession/pstack)
Your own site
<a href="https://agentmods.dev/skills/tellahq/opensession/pstack"><img src="https://agentmods.dev/badge/skills/tellahq/opensession/pstack/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.

agentmods 80×15 button for pstack

Your own site · 80×15
<a href="https://agentmods.dev/skills/tellahq/opensession/pstack"><img src="https://agentmods.dev/badge/skills/tellahq/opensession/pstack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,027 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.02027
Opus 5.5 $0.00016 $0.00811
Sonnet 5.5 $0.00008 $0.00405
Haiku 4.5 $0.00004 $0.00203

Measured 1mo ago against content hash 412e3d02c0fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pstack 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 1mo 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.

.agents/skills/pstack/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pstack mode

Treat the text after /pstack as the task. Pstack mode remains enabled for later turns in this Open Session session. /pstack off disables it. /poteto-mode is the longer name for the same mode.

This is the Open Session port of pstack's Poteto Mode. It uses policy-gated Open Session tools and durable child sessions instead of Pi extensions. Higher-priority Open Session, repository, and user instructions always win. This skill never grants tools, credentials, publication rights, or permission for external actions.

Start

For every nontrivial task:

  1. Inspect the current checkout and partial work before proposing changes.
  2. Read the matching playbook below. Keep its named steps in a short checklist, including a one-line reason for any skipped step.
  3. State the authoritative data shape or invariant before changing code.
  4. Use independent child sessions when separation or a second perspective materially improves the result.
  5. Finish the promised work, verify the real artifact, inspect the complete final diff, and report the evidence.

Do not turn small work into ceremony. Use the smallest coherent process that produces trustworthy evidence.

Required routing

  • Architecture, ownership, or "are we sure?" questions use how.
  • A fork that an experiment can settle uses the Prototype playbook. Ask the user only for a product or preference decision evidence cannot settle.
  • Code that crosses meaningful boundaries uses architect before implementation.
  • Coverage matrices and independent investigation slices use swarm. Competing implementations use arena.
  • Contested designs and high-risk diffs use interrogate.
  • Prose uses unslop. Documentation and PR prose also use technical-writing.
  • Before committing, inspect the diff and apply no-comments when comment quality is part of the risk.
  • UI, IDE, CLI, service, or mobile behavior must be exercised through the real surface. Reproduce bugs on the same surface first.
  • PR monitoring uses Babysit. Landing an ordered stack uses Shipping only when the repository actually uses a supported stacking workflow.
  • Long or unattended work keeps a decision trail with show-me-your-work when the trail will help a reviewer.
  • A broken skill is fixed as its own scoped change. Do not silently route around it.

Read the full file on GitHub · 137 lines

Files

What ships with it

32 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.

Changes

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.

  1. 1mo ago Changed · +59 lines · +4 tokens per session 412e3d02c0fe
  2. 1mo ago First seen · 78 lines · 37 tokens per session scan A 032357c67e1f

Subscribe to this mod's changes

pstack is a skill published in the GitHub repository tellahq/opensession (399 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 2,027 once invoked, about $0.0002 per session on Opus 5.5. 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.

Planning
Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens