qstack

A skill that lists the skills installed through QStack and its optional collections, then suggests what to run next based on the conversation and a plan folder on disk.

In plain words
What is it for?
Reviewing installed skills, seeing their sources and descriptions, and choosing a relevant next skill.
Why use it?
It helps you understand which skills are available without searching through installation files yourself.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/hani-q/qstack/qstack
Any agent
npx skills add hani-q/qstack --skill qstack
Clone the repo
git clone --depth 1 https://github.com/hani-q/qstack

Made for: Claude Code, Codex.

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00073 $0.01166
Opus 5 $0.00036 $0.00583
Sonnet 5 $0.00015 $0.00233
Haiku 4.5 $0.00007 $0.00117

Measured yesterday against content hash fcf2404485d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qstack 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.

skills/qstack/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/qstack

Show what is installed, then what to run next. Nothing is stored in this file: every run reads the skills on disk at that moment, so a skill added or a collection installed yesterday appears today.

1. Read the installed skills

Run this once. It prints one row per skill as collection<TAB>name<TAB>description.

python3 - <<'PY'
import json, os, re
home = os.path.expanduser("~")
lock = os.path.join(home, ".agents", ".skill-lock.json")
sources = {}
if os.path.isfile(lock):
    for name, entry in json.load(open(lock)).get("skills", {}).items():
        sources[name] = entry.get("source", "")
COLLECTIONS = {"mattpocock/skills": "Matt Pocock"}
def description(path):
    lines = open(path, encoding="utf-8").read().splitlines()
    if not lines or lines[0] != "---":
        return ""
    out, folded = [], False
    for line in lines[1:]:
        if line == "---":
            break
        if folded:
            if line[:1].isspace():
                out.append(line.strip())
                continue
            break
        m = re.match(r"^description:\s*(.*)$", line)
        if m:
            value = m.group(1).strip()
            if value in ("", ">", "|", ">-", "|-"):
                folded = True
            else:
                return value.strip('"')
    return " ".join(out)
seen, rows = set(), []
for d in (".claude/skills", ".codex/skills", ".agents/skills"):
    root = os.path.join(home, d)
    if not os.path.isdir(root):
        continue
    for name in sorted(os.listdir(root)):
        md = os.path.join(root, name, "SKILL.md")
        if name in seen or not os.path.isfile(md):
            continue
        if name == "qstack" or name.startswith("qstack-"):
            group = "qstack"
        elif name == "human-review":
            group = "human-review"
        elif sources.get(name) in COLLECTIONS:
            group = COLLECTIONS[sources[name]]
        else:
            continue
        seen.add(name)
        rows.append((group, name, description(md)))
order = {"qstack": 0, "human-review": 1}
for group, name, desc in sorted(rows, key=lambda r: (order.get(r[0], 2), r[0], r[1])):
    print(f"{group}\t{name}\t{desc}")
PY

Read the full file on GitHub · 133 lines

Files

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.

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. yesterday First seen · 133 lines · 73 tokens per session scan A fcf2404485d1

Subscribe to this mod's changes

qstack is a skill published in the GitHub repository hani-q/qstack (7 stars, last pushed 5d ago), licensed MIT. It adds 73 tokens to every session and 1,166 once invoked, about $0.0004 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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