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/sandeep-alluru/agentdelta/inspectgit clone --depth 1 https://github.com/sandeep-alluru/agentdeltaWrote 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/sandeep-alluru/agentdelta/inspect)<a href="https://agentmods.dev/commands/sandeep-alluru/agentdelta/inspect"><img src="https://agentmods.dev/badge/commands/sandeep-alluru/agentdelta/inspect.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 | $0.00000 | $0.00227 |
| Opus 5 | $0.00000 | $0.00113 |
| Sonnet 5 | $0.00000 | $0.00045 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
inspect 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 3d 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
Inspect an agentdelta trace file and summarize the agent's execution path.
Usage: /project:inspect <trace.jsonl>
Steps:
- Run:
agentdelta inspect $ARGUMENTS - Present a clean summary:
- Total steps and run_id
- Sequence of node types (start → llm → tool_call → tool_return → ... → end)
- Each tool call: name and truncated arguments
- Each LLM step: first 100 chars of reasoning
- Any metadata fields present
- Highlight anything unusual:
- More than 10 steps (complex agent run)
- Repeated tool calls (possible loop)
- Missing start or end node
- Very short LLM reasoning (< 20 chars — may be truncated or empty)
Context:
- Trace format: each line is JSON with "type": "node"|"edge"|"trace_meta"
- Node types: start, llm, tool_call, tool_return, end
- Node IDs are content-addressed (SHA-256[:16]) — same content = same ID across runs
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.
- 3d ago First seen · 23 lines · 0 tokens per session scan A 56fa091b3cef
inspect is a command published in the GitHub repository sandeep-alluru/agentdelta (0 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 227 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 2026-08-31.
Other commands, from other repositories
pre-commit
Run pre-commit checks identical to GitHub CI (ruff, mypy, tests).
pensyve
Route explicit Pensyve memory requests through the bundled MCP server; supports recall, remember, observe, inspect, status, review, forget, and mention-style guidance.
using-pensyve
Show available Pensyve memory tools, skills, and commands.
consolidate
Run memory consolidation to promote, decay, and archive memories.
forget
Delete all memories for an entity from Pensyve.
inspect
View all memories stored for an entity in Pensyve.