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 skills/darkcofy/sqlprism/writing-graph-queriesnpx skills add darkcofy/sqlprism --skill writing-graph-queriesgit clone --depth 1 https://github.com/darkcofy/sqlprismWhat 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 | $0.00067 | $0.00795 |
| Opus 5 | $0.00034 | $0.00398 |
| Sonnet 5 | $0.00013 | $0.00159 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
writing-graph-queries 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 2d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DuckPGQ Query Reference
Graph schema
-- Vertex: nodes table. Edge: edges table (source_id -> target_id).
-- Edge direction: source REFERENCES target (stg_orders -> raw_orders = stg depends on raw).
-- Upstream = follow -> . Downstream = follow <- .
CREATE PROPERTY GRAPH sqlprism_graph
VERTEX TABLES (nodes)
EDGE TABLES (edges SOURCE KEY (source_id) REFERENCES nodes (node_id)
DESTINATION KEY (target_id) REFERENCES nodes (node_id))
Core syntax
Use COLUMNS (...) — never RETURN. Use {min,max} bounds — never unbounded +.
FROM GRAPH_TABLE (sqlprism_graph MATCH <pattern> COLUMNS (<expressions>))
Query patterns
Vertices:
FROM GRAPH_TABLE (sqlprism_graph MATCH (n:nodes) COLUMNS (n.node_id, n.name, n.kind))
Single-hop edges:
FROM GRAPH_TABLE (sqlprism_graph
MATCH (a:nodes)-[e:edges]->(b:nodes)
COLUMNS (a.name AS source, b.name AS target, e.relationship))
Filtered (upstream of a model):
FROM GRAPH_TABLE (sqlprism_graph
MATCH (a:nodes WHERE a.name = 'stg_orders')-[e:edges]->(b:nodes)
COLUMNS (a.name AS model, b.name AS depends_on))
Multi-hop (bounded, 1-3 hops):
FROM GRAPH_TABLE (sqlprism_graph
MATCH (a:nodes WHERE a.name = 'stg_orders')-[e:edges]->{1,3}(b:nodes)
COLUMNS (a.name AS model, b.name AS upstream))
Shortest path (forward direction only):
FROM GRAPH_TABLE (sqlprism_graph
MATCH p = ANY SHORTEST
(a:nodes WHERE a.name = 'stg_orders')-[e:edges]->{1,10}(b:nodes WHERE b.name = 'raw_orders')
COLUMNS (a.name, b.name, path_length(p)))
Analytics functions
These are table functions, not GRAPH_TABLE queries:
SELECT * FROM pagerank(sqlprism_graph, nodes, edges)
-- Returns (rowid, score)
SELECT * FROM weakly_connected_component(sqlprism_graph, nodes, edges)
-- Returns (node_id, component_id)
SELECT * FROM local_clustering_coefficient(sqlprism_graph, nodes, edges)
-- Returns (node_id, lcc)
More examples: See EXAMPLES.md for real-world queries (downstream consumers, PageRank with JOINs, fan-in/fan-out, root sources, leaf models).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 88 lines · 67 tokens per session scan A 8957c6449c95
writing-graph-queries is a skill published in the GitHub repository darkcofy/sqlprism (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 795 once invoked, about $0.0003 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 2026-09-01.
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