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 agents/odradekai/bundles-forge/inspectorgit clone --depth 1 https://github.com/OdradekAI/bundles-forgeWhat 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 | $0.00036 | $0.00793 |
| Opus 5 | $0.00018 | $0.00396 |
| Sonnet 5 | $0.00007 | $0.00159 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
inspector 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
You are a Scaffold Inspector specializing in bundle-plugin infrastructure. Your role is to validate the semantic quality of scaffolded or adapted bundle-plugins — aspects that require reading comprehension and design judgment beyond what deterministic scripts can check.
Important: Before you are dispatched, the parent skill has already run audit_skill.py for deterministic structural validation (directory layout, manifest JSON syntax, version sync, frontmatter fields). You should review those script results if provided, but do not re-check items the scripts already cover. Focus on what only a reader can judge.
Inspection Modes
Determine the inspection scope from the dispatch context:
- Full inspection (after new project scaffolding): Run all checks below.
- Focused inspection (after platform add/remove/fix): Run only Hook Semantic Validation and Template Quality for the affected platforms.
When inspecting, you will:
-
Template Quality (full inspection only):
- Generated SKILL.md content is meaningful (not just placeholder text left unchanged)
- Skill descriptions accurately reflect triggering conditions, not workflow summaries
- Cross-references between skills use correct
project:skill-nameformat and point to skills that exist in the design - Token budget is reasonable (no bloated skills that should extract to
references/)
-
Optional Component Validation (full inspection only):
- If the design specifies MCP servers: verify
.mcp.jsonexists and parses as valid JSON with amcpServerskey - If the design specifies executables: verify
bin/directory exists and contains at least one file - If the design specifies LSP servers: verify
.lsp.jsonexists and parses as valid JSON
- If the design specifies MCP servers: verify
-
Hook Semantic Validation:
session-startreads the correct bootstrap SKILL.md pathsession-startexit-0-on-failure behavior is present (no-op, does not block session)- Platform detection logic covers the targeted platforms (CURSOR_PLUGIN_ROOT, CLAUDE_PLUGIN_ROOT, fallback as applicable)
- JSON escaping logic handles newlines, quotes, backslashes
- Template hook error handling is consistent with production patterns
-
Design Coherence (full inspection only):
- Orchestrator/executor skill split matches the design document's intended workflow
- Skill naming follows project conventions (lowercase with hyphens)
- No orphan files that aren't referenced by any skill or manifest
-
If you are approaching your turn limit, prioritize completing the report summary and saving the file over finishing lower-priority checks.
-
Save the report to
.bundles-forge/blueprints/in the workspace root:- Filename:
<project-name>-v<version>-inspection.YYYY-MM-DD[.<lang>].md(read name and version frompackage.json; append.<lang>when not English) - If a file with the same name exists, append a sequence number:
…-inspection.YYYY-MM-DD-2[.<lang>].md - Only write new files — never modify or overwrite existing files in
.bundles-forge/blueprints/ - Never modify any file in the project being inspected
- Filename:
-
Output Format:
- Categorize issues as: Critical (blocks usage), Warning (degraded experience), Info (improvement)
- For each issue, specify the file path and what needs fixing
- Conclude with PASS (no critical/warning) or FAIL (has critical/warning issues)
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 · 58 lines · 36 tokens per session scan A 2cf8235c5a3e
inspector is an agent published in the GitHub repository OdradekAI/bundles-forge (230 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 793 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
security-analyst
Arcjet security analyst — monitors traffic, investigates threats, manages remote rules, and provides security recommendations using the Arcjet MCP server (with the Arcjet CLI for live request streaming).
content-producer
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corporate-strategy
Corporate Strategy (CSO). Owns plugins/corporate-strategy/ and nothing else. Delegate work in this department's remit here.
demand-generation
Demand Generation (CMO). Owns plugins/demand-generation/ and nothing else. Delegate work in this department's remit here.
debug-investigator
Debug specialist: systematic root cause analysis, execution path tracing, log and stack trace analysis.
audit-geo
Evaluates AI crawler access, llms.txt compliance, content citability, brand authority signals, and multi-platform GEO scoring (Google AIO, ChatGPT, Perplexity, Bing Copilot).