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 josephyaduvanshi/qwen-companion --skill qwen-promptinggit clone --depth 1 https://github.com/josephyaduvanshi/qwen-companionWrote 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/josephyaduvanshi/qwen-companion/qwen-prompting)<a href="https://agentmods.dev/skills/josephyaduvanshi/qwen-companion/qwen-prompting"><img src="https://agentmods.dev/badge/skills/josephyaduvanshi/qwen-companion/qwen-prompting/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/josephyaduvanshi/qwen-companion/qwen-prompting"><img src="https://agentmods.dev/badge/skills/josephyaduvanshi/qwen-companion/qwen-prompting.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 | $0.00037 | $0.01060 |
| Opus 5 | $0.00018 | $0.00530 |
| Sonnet 5 | $0.00007 | $0.00212 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
qwen-prompting 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen Prompting
Use this skill when qwen:qwen-rescue needs to ask Qwen Code for help.
Prompt Qwen like an operator, not a collaborator. Keep prompts compact and block-structured with XML tags. State the task, the output contract, the follow-through defaults, and the small set of extra constraints that matter.
Core rules:
- Prefer one clear task per Qwen run. Split unrelated asks into separate runs.
- Tell Qwen what done looks like. Do not assume it will infer the desired end state.
- Add explicit grounding and verification rules for any task where unsupported guesses would hurt quality.
- Prefer better prompt contracts over raising reasoning or adding long natural-language explanations.
- Use XML tags consistently so the prompt has stable internal structure.
- Qwen Code's default models (
qwen3.5-plus,qwen3-max,qwen3-coder-plus) are strong at code edits and tool use but prefer explicit contracts. Spell out file boundaries, acceptance criteria, and stop conditions.
Default prompt recipe:
<task>: the concrete job and the relevant repository or failure context.<structured_output_contract>or<compact_output_contract>: exact shape, ordering, and brevity requirements.<default_follow_through_policy>: what Qwen should do by default instead of asking routine questions.<verification_loop>or<completeness_contract>: required for debugging, implementation, or risky fixes.<grounding_rules>or<citation_rules>: required for review, research, or anything that could drift into unsupported claims.
When to add blocks:
- Coding or debugging: add
completeness_contract,verification_loop, andmissing_context_gating. - Review or adversarial review: add
grounding_rules,structured_output_contract, anddig_deeper_nudge. - Research or recommendation tasks: add
research_modeandcitation_rules. - Write-capable tasks: add
action_safetyso Qwen stays narrow and avoids unrelated refactors.
How to choose prompt shape:
- There is no dedicated
review/adversarial-reviewcommand in v0.1 of this plugin. For review-style work, send ataskprompt with a<task>Review ...</task>block plus a strict<structured_output_contract>. - Use
taskwhen the task is diagnosis, planning, research, or implementation and you need to control the prompt directly.
Working rules:
- Prefer explicit prompt contracts over vague nudges.
- Use stable XML tag names.
- Do not raise reasoning or complexity first. Tighten the prompt and verification rules before escalating.
- Ask Qwen for brief, outcome-based progress updates only when the task is long-running or tool-heavy.
- Keep claims anchored to observed evidence. If something is a hypothesis, say so.
Prompt assembly checklist:
- Define the exact task and scope in
<task>. - Choose the smallest output contract that still makes the answer easy to use.
- Decide whether Qwen should keep going by default or stop for missing high-risk details.
- Add verification, grounding, and safety tags only where the task needs them.
- Remove redundant instructions before sending the prompt.
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.
- 12d ago First seen · 94 lines · 37 tokens per session scan A 52cb0e44300c
qwen-prompting is a skill published in the GitHub repository josephyaduvanshi/qwen-companion (11 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,060 once invoked, about $0.0002 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 2026-08-30.
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