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 agentmods add commands/c0ntr0lledcha0s/claude-code-plugin-automations/fixgit clone --depth 1 https://github.com/C0ntr0lledCha0s/claude-code-plugin-automationsWrote 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/c0ntr0lledcha0s/claude-code-plugin-automations/fix)<a href="https://agentmods.dev/commands/c0ntr0lledcha0s/claude-code-plugin-automations/fix"><img src="https://agentmods.dev/badge/commands/c0ntr0lledcha0s/claude-code-plugin-automations/fix.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 | $0.00007 | $0.00351 |
| Opus 5 | $0.00003 | $0.00176 |
| Sonnet 5 | $0.00001 | $0.00070 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
fix 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.
What it actually says
Fix Command
Automatically fix common issues in a component.
Usage
/my-standard-plugin:fix [component-name]
What This Command Does
- Analyze Component: Identify fixable issues
- Confirm Changes: Ask user for approval
- Apply Fixes: Automatically resolve issues
- Verify: Confirm fixes applied successfully
Parameters
- component-name: (Required) The component to fix
Implementation
Step 1: Analyze for Issues
Run analysis to identify fixable issues.
Step 2: List Proposed Fixes
Show user what will be changed:
Found 3 fixable issues:
1. Add input validation (login.ts:45)
2. Update deprecated method (auth.ts:78)
3. Add error handling (utils.ts:102)
Apply these fixes? (y/n)
Step 3: Apply Fixes
If user confirms, apply each fix:
- Use Edit tool for targeted changes
- Validate changes
- Report progress
Step 4: Verification
Confirm all fixes applied:
✅ Applied 3 fixes successfully
Safety Features
- Always ask for confirmation before making changes
- Create backup before modifying files
- Validate changes before saving
- Provide rollback option if needed
Example
/my-standard-plugin:fix authentication
Notes
- This command modifies files
- Always review changes carefully
- Consider running tests after applying fixes
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 · 78 lines · 7 tokens per session scan A c262b4c02ad7
fix is a command published in the GitHub repository C0ntr0lledCha0s/claude-code-plugin-automations (3 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 351 once invoked, about $0.0000 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
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.