Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add smrafiz/claude-supercharger/plugin install superchargerWrote 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/commands/smrafiz/claude-supercharger/why)<a href="https://agentmods.dev/commands/smrafiz/claude-supercharger/why"><img src="https://agentmods.dev/badge/commands/smrafiz/claude-supercharger/why.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00960 |
| Opus 5 | $0.00000 | $0.00480 |
| Sonnet 5 | $0.00000 | $0.00192 |
| Haiku 4.5 | $0.00000 | $0.00096 |
Grade A, and why
why 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 5d 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.
What it actually says
Explain the most recent Supercharger hook action. Arguments: $ARGUMENTS
If $ARGUMENTS is empty, examine the most recent hook activity. If $ARGUMENTS names a hook (e.g., confidence-gate), explain that hook's last firing specifically.
Sources to consult (read in order, stop at first match). Scope files gained
-<session>/-<project-hash> suffixes over time — these are the CURRENT names, so
use the globs exactly as written (pick the most-recently-MODIFIED match, ls -t … | head -1):
${CLAUDE_PLUGIN_DATA}/scope/.scan-alert-*(mtime + content; newest) — last scanner finding${CLAUDE_PLUGIN_DATA}/scope/.blocked-commands(last line — single global file, NO suffix) — last block reason${CLAUDE_PLUGIN_DATA}/scope/.user-corrections*(last line of newest) — last correction${CLAUDE_PLUGIN_DATA}/scope/.failed-commands-*(last line of newest — per-project hash) — last failure cluster 4a.${CLAUDE_PLUGIN_DATA}/scope/.subagent-report-*(last 3 lines of newest — per-session) — a subagent whose final message came back degraded ("Ready.", "Done.", "Standing by."), i.e. Claude Code's return-channel bug. Its findings were recovered to disk. Report the path and tell the user to read it withbash ${CLAUDE_PLUGIN_ROOT}/tools/subagent-report.sh <agent-id>(or--latest). This is not a block and nothing failed — the work completed, only the reply was lost. 4b.${CLAUDE_PLUGIN_DATA}/scope/.prompt-notes-*(last 3 lines of newest — per-session) — prompt-validator's phrasing advice. It runs async, so this note may have scrolled past or arrived beside the answer; this file is where it is kept. Report it as guidance on how the request was phrased, never as something that blocked anything. 4c.${CLAUDE_PLUGIN_DATA}/scope/.detect-overruns(count the lines; report only if the newest entry is from this session's timeframe) — safety.sh's deep scanner hit its wall-clock budget and was killed, so it fell back to the regex checks alone. This is the one source here that explains why something did not fire:check_archive_secretsandcheck_secret_directorylive only insafety-detect.py, so while it is cut short those rules are not running. Measured at ~0.6% of calls under heavy parallel load. Report it as a fail-OPEN that already happened — nothing was blocked, a check was skipped — and name the lever:SUPERCHARGER_DETECT_BUDGET_S(default 0.5). Usually just a loaded machine.${CLAUDE_PLUGIN_DATA}/audit/$(date -u +%Y-%m-%d).jsonl(last 5 entries that have ahookfield — skip timing/field-less rows) — recent audit events${CLAUDE_PLUGIN_DATA}/scope/.tool-history-*(last line of newest — per-session) — last tool result
For each source that matched, explain:
- What fired — hook name + event (e.g.,
confidence-gate.sh on PreToolUse:Edit) - Why — the specific signal (e.g., "3 failures in last 5 tool calls + read-before-write violation on /tmp/foo.ts → score 0.50, warn tier")
- Where — file:line if applicable
- What to do — concrete next step (e.g., "Run
bash tools/hook-toggle.sh confidence-gate offfor this session, or read the file before editing")
Output format (one block per source matched, max 3):
=== Why the last action fired ===
[1] <hook-name> at <relative time>
Event: <PreToolUse|PostToolUse|...>:<tool>
Reason: <one sentence>
Detail: <evidence snippet — file:line, score, threshold, etc.>
Fix: <concrete next step>
If no hook activity is found in any source: print No recent hook activity recorded.
Do not narrate the investigation. Lead with the answer.
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.
- 5d ago Changed · +1 lines 6c66f00522ba
- 8d ago First seen · 40 lines · 0 tokens per session scan A 7db7978724a3
why is a command published in the GitHub repository smrafiz/claude-supercharger (11 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 960 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.