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 ayushcodes10/echo-mem --skill source-command-sparc-analyzergit clone --depth 1 https://github.com/ayushcodes10/echo-memWrote 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/ayushcodes10/echo-mem/source-command-sparc-analyzer)<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-sparc-analyzer"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-sparc-analyzer/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/ayushcodes10/echo-mem/source-command-sparc-analyzer"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-sparc-analyzer.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 | $0.00018 | $0.00342 |
| Opus 5.5 | $0.00007 | $0.00137 |
| Sonnet 5.5 | $0.00004 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
source-command-sparc-analyzer 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 1mo 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
source-command-sparc-analyzer
Use this skill when the user asks to run the migrated source command sparc-analyzer.
Command Template
SPARC Analyzer Mode
Purpose
Deep code and data analysis with batch processing capabilities.
Activation
Option 1: Using MCP Tools (Preferred in Codex)
mcp__claude-flow__sparc_mode {
mode: "analyzer",
task_description: "analyze codebase performance",
options: {
parallel: true,
detailed: true
}
}
Option 2: Using NPX CLI (Fallback when MCP not available)
# Use when running from terminal or MCP tools unavailable
npx Codex-flow sparc run analyzer "analyze codebase performance"
# For alpha features
npx Codex-flow@alpha sparc run analyzer "analyze codebase performance"
Option 3: Local Installation
# If Codex-flow is installed locally
./Codex-flow sparc run analyzer "analyze codebase performance"
Core Capabilities
- Code analysis with parallel file processing
- Data pattern recognition
- Performance profiling
- Memory usage analysis
- Dependency mapping
Batch Operations
- Parallel file analysis using concurrent Read operations
- Batch pattern matching with Grep tool
- Simultaneous metric collection
- Aggregated reporting
Output Format
- Detailed analysis reports
- Performance metrics
- Improvement recommendations
- Visualizations when applicable
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.
- 1mo ago First seen · 64 lines · 18 tokens per session scan A 48e83e2386fb
source-command-sparc-analyzer is a skill published in the GitHub repository ayushcodes10/echo-mem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 342 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 2026-09-12.
Other skills, from other repositories
honcho-cli
Inspect and debug Honcho workspaces via the honcho CLI. Use when investigating peer representations, memory state, session context, or dialectic quality — any task that requires introspection of a Honcho deployment, including verifying that a recall/record memory loop is actually working.
upload-debug-memory
Use after resolving a bug, test failure, build failure, CI issue, deployment issue, or framework/API pitfall when the verified lesson should be published to Noosphere for future agents.
diagnose
Use when an AI Brain vault needs a health check or something feels off: Claude ignores CLAUDE.md, journal entries missing from /weekly, hooks not firing, something broke after a git pull, a friend's install misbehaves, Obsidian crashes or pegs the CPU, a .claude/worktrees folder appeared, Granola/WhatsApp/Slack/Gmail…
brain-doctor
Lint and repair the Claude Brain Logseq graph — find and fix format violations that create phantom pages or broken macros. Triggers: "brain doctor", "lint brain", "check brain health", "clean up brain", "fix brain", "graph hygiene", "why are there empty pages", "find broken pages", "backfill digests", "rebuild digest…
agent-debug-memory
Use when debugging code, tests, builds, deployments, CI failures, runtime errors, framework issues, API migrations, or UI state bugs where a coding Agent should consult Noosphere shared memory before fixing and upload the verified lesson afterward.
troubleshooting
Diagnoses and repairs core-memory-kit itself when the memory system is broken — the per-failure-code repair book. Fire whenever a "⚠ [core-memory-kit]" whisper appears on the prompt (it names the failure and points here), or when the user reports a kit symptom however they phrase it: memory is not being saved, nothing…