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 christopherarter/superpowers-reasonix --skill superpowers-diagnosing-superpowersgit clone --depth 1 https://github.com/christopherarter/superpowers-reasonixWrote 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/christopherarter/superpowers-reasonix/superpowers-diagnosing-superpowers)<a href="https://agentmods.dev/skills/christopherarter/superpowers-reasonix/superpowers-diagnosing-superpowers"><img src="https://agentmods.dev/badge/skills/christopherarter/superpowers-reasonix/superpowers-diagnosing-superpowers/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/christopherarter/superpowers-reasonix/superpowers-diagnosing-superpowers"><img src="https://agentmods.dev/badge/skills/christopherarter/superpowers-reasonix/superpowers-diagnosing-superpowers.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 | $0.00025 | $0.01725 |
| Opus 5.5 | $0.00010 | $0.00690 |
| Sonnet 5.5 | $0.00005 | $0.00345 |
| Haiku 4.5 | $0.00003 | $0.00172 |
Grade A, and why
superpowers-diagnosing-superpowers 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 4d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagnosing Reasonix Superpowers Sessions
Overview
Pin down with your human partner what went wrong in a session, read the transcripts on disk, and report what happened with evidence. You report; you do not diagnose the port. Whoever triages the bundle or the issue decides whether a skill or Reasonix changes.
Core principle: Every finding cites path:line. No citation, no
finding. Every number comes from the transcript or from a command you ran,
never from memory.
Resolve bundled assets: The skill loader's header gives the absolute path
to this SKILL.md. Use its containing directory as the asset root. Resolve
every prompts/, templates/, and references/ path below against that
root before reading it or passing it to a native task worker. Workers run
from the project directory and do not inherit this skill's path; give each
worker the case path and every needed asset as an absolute path.
Workflow
Create a todo per step. Steps 5–7 run only on their stated condition.
- Problem intake. Ask one question at a time until you can write a statement naming the session(s), the turn range if known, what your partner expected, what happened, and the observable they care about (wall-clock, tokens, repeated actions, one specific action). "It took too long" is a complaint, not a problem statement. Note whether the goal is a bug report for this port.
- Locate. Resolve each session to verified absolute filesystem paths using
references/session-discovery.md. Confirm a past session by quoting its first prompt and timestamp, and list every candidate you rejected with the reason, or "none". Enumerate subagent transcripts. Create~/.reasonix/diagnosing-superpowers/<session-id>/, tell your partner the path, and filltemplates/case.mdthere, following its provenance rules for environment and skill observations. - Triage. Read the region around the reported problem yourself. Then
dispatch one analyst with Reasonix's native
taskper dimension in parallel, each given the absolute case file path, absoluteprompts/analyst-common.mdandreferences/context-safety.mdpaths, and one absolute dimension file fromprompts/:skill-timeline.md,plan-adherence.md,repeated-work.md,stumbles.md,quality-evidence.md,request-conflicts.md,cost-and-time.md. Split a dimension by turn range when the transcript is long. Discard any returned finding withoutpath:line. - Report. Fill every section of
templates/report.mdin order, write it to the workspace, show it, and give the path. Check what cited content actually proves and preserve the supporting case; a symlink alias is not a redundant copy. - GitHub issues — when report §7 says possible or likely, or your
partner asks. Search open and closed issues for the symptoms per
references/github-issues.md. Show matches and suggest adding the report to the closest. If none match, filltemplates/issue.md, write it to the workspace, show the exact text, and create the issue only after approval.ghcannot attach files; if a bundle exists, give your partner its path to attach in the browser. - Export — only when your partner asks for a bundle; never build one
unprompted. If the intake goal was a bug report, say once that a
scrubbed bundle is available on request, then wait. Ask the redaction
level, stating what each includes: skeleton (no tool-result bodies),
evidence (bodies only for cited events), full. Build the bundle per
templates/bundle-README.md, dispatchprompts/scrub.md, thenprompts/scrub-audit.md, giving each worker the absolutereferences/redaction-policy.mdpath and repeating both until the audit returns CLEAN. Complete the bundle template's evidence check and reconciliation before showing the final scrub log, file list, and privacy and evidence outcomes. Archive (zip -rortar -czf) only after approval. With the archive path, state what it contains, point at the scrub log for replacements, and say scrubbing can miss things: they must review every file before sharing. - Similar sessions — when asked. Turn confirmed findings into a
signature, list candidates by mtime and size, find marker line numbers,
dispatch
prompts/similar-session.mdper candidate in parallel with the absolutereferences/context-safety.mdpath, and append report §9.
What ships with it
19 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.
- prompts/analyst-common.md 1.6 KB
- prompts/cost-and-time.md 1.6 KB
- prompts/plan-adherence.md 1.6 KB
- prompts/quality-evidence.md 1.5 KB
- prompts/repeated-work.md 1.5 KB
- prompts/request-conflicts.md 1.0 KB
- prompts/scrub-audit.md 1.4 KB
- prompts/scrub.md 1.5 KB
- prompts/similar-session.md 1.7 KB
- prompts/skill-timeline.md 1.9 KB
- prompts/stumbles.md 1.3 KB
- references/context-safety.md 990 B
- references/github-issues.md 1.5 KB
- references/redaction-policy.md 2.2 KB
- references/session-discovery.md 1.8 KB
- templates/bundle-README.md 3.6 KB
- templates/case.md 2.9 KB
- templates/issue.md 1.8 KB
- templates/report.md 2.3 KB
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.
- 4d ago First seen · 131 lines · 25 tokens per session scan A dca7ad5d507f
superpowers-diagnosing-superpowers is a skill published in the GitHub repository christopherarter/superpowers-reasonix (102 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 1,725 once invoked, about $0.0001 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 2026-10-14.
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