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 hamzaPixl/pixl-ai --skill intelgit clone --depth 1 https://github.com/hamzaPixl/pixl-aiWrote 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/hamzapixl/pixl-ai/intel)<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/intel"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/intel/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/hamzapixl/pixl-ai/intel"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/intel.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 | $0.00061 | $0.00866 |
| Opus 5.5 | $0.00024 | $0.00346 |
| Sonnet 5.5 | $0.00012 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00087 |
Grade A, and why
intel 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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intel — Unified Intelligence Queries
Query the pixl knowledge base for AST-indexed code search, artifacts, events, and dependency graphs. Falls back to Glob/Grep when pixl is not available.
Availability Check
Before running any pixl command, verify availability:
if command -v pixl &>/dev/null; then
# pixl available — use it
else
# Fall back to Glob/Grep
fi
If pixl is not available, use Glob and Grep tools directly as fallback. Inform the user that pixl is not installed and results come from basic file search.
Commands
Knowledge Search (primary use case)
Search AST-indexed code with FTS5 + BM25 scoring:
pixl knowledge search "QUERY" --limit 10 --json
pixl knowledge search "QUERY" --scope "*.tsx" --json # filter by file pattern
pixl knowledge search "QUERY" --type code --json # code only
pixl knowledge search "QUERY" --type doc --json # docs only
Fallback: Use Grep with the query pattern across the codebase.
Context Building
Build token-aware context for a query (useful for feeding into agents):
pixl knowledge context "QUERY" --max-tokens 4000
Index Management
pixl knowledge status --json # check index freshness
pixl knowledge build --code # rebuild code index only
pixl knowledge build --full # full rebuild (code + docs)
Artifacts
Store and retrieve versioned, searchable artifacts:
pixl artifact get --name NAME --json
pixl artifact put --name NAME --content "..." --json
pixl artifact search --query Q --json
pixl artifact versions SESSION ARTIFACT --json
Events & History
pixl events --type TYPE --limit N --json # TYPE: decision, error, milestone, etc.
pixl event-stats --json # aggregate event statistics
State & Dependencies
pixl state show ENTITY_ID # show entity state
pixl state graph EPIC_ID --json # dependency graph for an epic
pixl state deps FEATURE_ID # dependencies for a feature
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 · 110 lines · 61 tokens per session scan A d30e93ac1299
intel is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 6mo ago), licensed MIT. It adds 61 tokens to every session and 866 once invoked, about $0.0002 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 2026-09-03.
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