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 TarrySingh/hulde-review --skill hulde-chatgit clone --depth 1 https://github.com/TarrySingh/hulde-reviewWrote 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/tarrysingh/hulde-review/hulde-chat)<a href="https://agentmods.dev/skills/tarrysingh/hulde-review/hulde-chat"><img src="https://agentmods.dev/badge/skills/tarrysingh/hulde-review/hulde-chat/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/tarrysingh/hulde-review/hulde-chat"><img src="https://agentmods.dev/badge/skills/tarrysingh/hulde-review/hulde-chat.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 | $0.00025 | $0.00638 |
| Opus 5 | $0.00013 | $0.00319 |
| Sonnet 5 | $0.00005 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
hulde-chat 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/hulde-chat
Answer questions about this codebase using the knowledge graph at .hulde-review/knowledge-graph.json.
Graph Structure Reference
The knowledge graph JSON has this structure:
project— {name, description, languages, frameworks, analyzedAt, gitCommitHash}nodes[]— each has {id, type, name, filePath, summary, tags[], complexity, languageNotes?}- Node types: file, function, class, module, concept
- IDs:
file:path,func:path:name,class:path:name
edges[]— each has {source, target, type, direction, weight}- Key types: imports, contains, calls, depends_on
layers[]— each has {id, name, description, nodeIds[]}tour[]— each has {order, title, description, nodeIds[]}
How to Read Efficiently
- Use Grep to search within the JSON for relevant entries BEFORE reading the full file
- Only read sections you need — don't dump the entire graph into context
- Node names and summaries are the most useful fields for understanding
- Edges tell you how components connect — follow imports and calls for dependency chains
Instructions
-
Check that
.hulde-review/knowledge-graph.jsonexists in the current project root. If not, tell the user to run/hulde-reviewfirst. -
Read project metadata only — use Grep or Read with a line limit to extract just the
"project"section from the top of the file for context (name, description, languages, frameworks). -
Search for relevant nodes — use Grep to search the knowledge graph file for the user's query keywords: "$ARGUMENTS"
- Search
"name"fields:grep -i "query_keyword"in the graph file - Search
"summary"fields for semantic matches - Search
"tags"arrays for topic matches - Note the
idvalues of all matching nodes
- Search
-
Find connected edges — for each matched node ID, Grep for that ID in the
edgessection to find:- What it imports or depends on (downstream)
- What calls or imports it (upstream)
- This gives you the 1-hop subgraph around the query
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.
- 12d ago First seen · 54 lines · 25 tokens per session scan A f68f1bf18728
hulde-chat is a skill published in the GitHub repository TarrySingh/hulde-review (2 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 638 once invoked, about $0.0001 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.
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