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 ddtcorex/maestro-skills --skill diagnosing-superpowersgit clone --depth 1 https://github.com/ddtcorex/maestro-skillsWrote 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/ddtcorex/maestro-skills/diagnosing-superpowers)<a href="https://agentmods.dev/skills/ddtcorex/maestro-skills/diagnosing-superpowers"><img src="https://agentmods.dev/badge/skills/ddtcorex/maestro-skills/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/ddtcorex/maestro-skills/diagnosing-superpowers"><img src="https://agentmods.dev/badge/skills/ddtcorex/maestro-skills/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 | $0.00092 | $0.01635 |
| Opus 5.5 | $0.00037 | $0.00654 |
| Sonnet 5.5 | $0.00018 | $0.00327 |
| Haiku 4.5 | $0.00009 | $0.00163 |
Grade A, and why
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 27d 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.
This is a copy
100% identical to diagnosing-superpowers — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagnosing Superpowers
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 superpowers. Whoever triages the bundle or the issue decides whether superpowers 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.
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 superpowers bug report.
- 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~/.superpowers/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 subagent per dimension in parallel, each given the
case file path,
prompts/analyst-common.md, and one 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, 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, 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 1.5 KB
- prompts/cost-and-time.md 1.6 KB
- prompts/plan-adherence.md 1.6 KB
- prompts/quality-evidence.md 1.4 KB
- prompts/repeated-work.md 1.4 KB
- prompts/request-conflicts.md 1011 B
- prompts/scrub-audit.md 1.3 KB
- prompts/scrub.md 1.4 KB
- prompts/similar-session.md 1.7 KB
- prompts/skill-timeline.md 1.6 KB
- prompts/stumbles.md 1.3 KB
- references/context-safety.md 990 B
- references/github-issues.md 1.6 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.
- 27d ago First seen · 121 lines · 92 tokens per session scan A 5a652f8132cc
diagnosing-superpowers is a skill published in the GitHub repository ddtcorex/maestro-skills (4 stars, last pushed 2d ago), licensed MIT. It adds 92 tokens to every session and 1,635 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to diagnosing-superpowers, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
postmortem
Auto-generates a structured postmortem from a completed campaign. Reads the campaign file, telemetry logs, and feature ledger. Produces a documented analysis of what broke, what the safety systems caught, and what patterns emerged. Can also be invoked manually for any incident.
systematic-debugging
4-phase root cause analysis: observe, hypothesize, verify, fix. Enforces investigation before any code changes. Emergency stop after 2 failed fixes. Prevents shotgun debugging and fix cascades.
superloopy-doctor
Use when diagnosing Superloopy doctor, install, wrapper, plugin cache, hook bootstrap, bundled agents, marketplace, Codex, Claude Code, stale-version, evidence-floor, or host-wiring health problems.
ambient-project
Quietly maintain a useful project view from meaningful work in the current Codex session. Use when work creates a task, bug, decision, idea, risk, milestone, plan, progress update, or explicit completion.
zapier-status
Check the health of your Zapier MCP setup. Three modes — health check (dashboard view), audit (find waste and duplicates), diagnose (systematic troubleshooting). Use when asking "is my MCP working?", "check my tools", "audit my setup", "what's broken?", or "zapier status".
serena
Serena code intelligence — LSP-powered symbol navigation, diagnostics, and targeted code surgery. Activate before complex refactors, cross-file analysis, or when graph tools need symbol-level depth.