Update GitHub Action hashintel/.github to 583b046

[hash-dependencies]

This PR contains the following updates:

Package	Type	Update	Change
hashintel/.github (changelog)	action	digest	69449a7 → 583b046

---

Configuration

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This PR has been generated by Mend Renovate.

[vercel]

The latest updates on your projects. Learn more about Vercel for GitHub.

Project	Deployment	Actions	Updated (UTC)
hash	Ready	Preview	Aug 12, 2026 10:10pm
hashdotdesign-tokens	Ready	Preview	Aug 12, 2026 10:10pm
petrinaut	Ready	Preview	Aug 12, 2026 10:10pm

[cursor]

PR Summary

Medium Risk
Digest-only CI pin bump, but it updates shared workflows used for dependency checks and release token minting, so upstream changes could affect critical CI paths.

Overview
Bumps pinned hashintel/.github reusable workflows and actions from 69449a7 to 583b046.

Updates refs in housekeeping (Renovate), preflight checks (todo comments, actionlint, dependency audit, PR title), and the release workflow’s github-app-token action. No local workflow logic changes.

^{Reviewed by Cursor Bugbot for commit 45b09a1. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 59.63%. Comparing base (38ab9fd) to head (eb5e55d).
⚠️ Report is 3 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #9207   +/-   ##
=======================================
  Coverage   59.63%   59.63%           
=======================================
  Files        1420     1421    +1     
  Lines      138767   138770    +3     
  Branches     6555     6555           
=======================================
+ Hits        82753    82758    +5     
+ Misses      54950    54948    -2     
  Partials     1064     1064           

Flag	Coverage Δ
apps.hash-ai-worker-ts	1.99% <ø> (ø)
apps.hash-api	14.00% <ø> (ø)
blockprotocol.type-system	40.84% <ø> (ø)
local.claude-hooks	0.00% <ø> (ø)
local.harpc-client	51.49% <ø> (ø)
local.hash-backend-utils	3.27% <ø> (ø)
local.hash-graph-sdk	10.02% <ø> (ø)
local.hash-isomorphic-utils	12.22% <ø> (ø)
rust.antsi	2.36% <ø> (ø)
rust.error-stack	90.81% <ø> (ø)
rust.harpc-codec	84.70% <ø> (ø)
rust.harpc-net	96.24% <ø> (+0.03%)	⬆️
rust.harpc-tower	67.03% <ø> (ø)
rust.harpc-types	0.00% <ø> (ø)
rust.harpc-wire-protocol	92.23% <ø> (ø)
rust.hash-codec	72.76% <ø> (ø)
rust.hash-graph-api	7.36% <ø> (ø)
rust.hash-graph-authentication	100.00% <ø> (?)
rust.hash-graph-authorization	62.59% <ø> (ø)
rust.hash-graph-embeddings	91.88% <ø> (ø)
rust.hash-graph-postgres-store	29.33% <ø> (ø)
rust.hash-graph-store	46.78% <ø> (ø)
rust.hash-graph-temporal-versioning	47.95% <ø> (ø)
rust.hash-graph-types	0.00% <ø> (ø)
rust.hash-graph-validation	84.71% <ø> (ø)
rust.hashql-ast	89.63% <ø> (ø)
rust.hashql-compiletest	28.39% <ø> (ø)
rust.hashql-core	78.98% <ø> (ø)
rust.hashql-diagnostics	72.51% <ø> (ø)
rust.hashql-eval	79.82% <ø> (ø)
rust.hashql-hir	89.09% <ø> (ø)
rust.hashql-mir	87.92% <ø> (ø)
rust.hashql-syntax-jexpr	94.04% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

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[codspeed-hq]

Merging this PR will degrade performance by 15.38%

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

❌ 2 regressed benchmarks
✅ 72 untouched benchmarks
⏩ 24 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	bit_matrix/dense/iter_row[64]	140.8 ns	170 ns	-17.16%
❌	bit_matrix/dense/iter_row[200]	185.8 ns	215 ns	-13.57%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing deps/gha/hashintel-.github-digest (eb5e55d) with main (7409d46)}

Footnotes

1. 24 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

[github-actions]

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$22.6 \mathrm{ms} \pm 128 \mathrm{μs}\left({\color{gray}1.69 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.69 \mathrm{ms} \pm 15.6 \mathrm{μs}\left({\color{gray}4.38 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$10.4 \mathrm{ms} \pm 80.5 \mathrm{μs}\left({\color{gray}3.14 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$33.1 \mathrm{ms} \pm 261 \mathrm{μs}\left({\color{gray}-1.510 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$10.7 \mathrm{ms} \pm 84.6 \mathrm{μs}\left({\color{gray}-1.312 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$18.7 \mathrm{ms} \pm 143 \mathrm{μs}\left({\color{lightgreen}-5.676 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$22.9 \mathrm{ms} \pm 157 \mathrm{μs}\left({\color{gray}-2.697 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.84 \mathrm{ms} \pm 17.2 \mathrm{μs}\left({\color{gray}-1.084 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$11.2 \mathrm{ms} \pm 77.7 \mathrm{μs}\left({\color{gray}1.59 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$2.83 \mathrm{ms} \pm 19.5 \mathrm{μs}\left({\color{gray}-4.187 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.21 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{gray}-0.410 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$2.48 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{gray}0.050 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$3.99 \mathrm{ms} \pm 30.7 \mathrm{μs}\left({\color{gray}-0.448 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.62 \mathrm{ms} \pm 16.3 \mathrm{μs}\left({\color{gray}-3.837 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$3.21 \mathrm{ms} \pm 23.7 \mathrm{μs}\left({\color{gray}0.035 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$3.46 \mathrm{ms} \pm 26.9 \mathrm{μs}\left({\color{gray}-0.052 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.57 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}1.08 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.13 \mathrm{ms} \pm 47.7 \mathrm{μs}\left({\color{gray}-2.395 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$1.97 \mathrm{ms} \pm 11.7 \mathrm{μs}\left({\color{gray}-3.953 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$1.83 \mathrm{ms} \pm 11.2 \mathrm{μs}\left({\color{lightgreen}-6.071 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$1.94 \mathrm{ms} \pm 11.7 \mathrm{μs}\left({\color{gray}-4.654 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.23 \mathrm{ms} \pm 14.4 \mathrm{μs}\left({\color{gray}4.54 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.01 \mathrm{ms} \pm 13.8 \mathrm{μs}\left({\color{gray}-2.688 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.19 \mathrm{ms} \pm 15.8 \mathrm{μs}\left({\color{gray}-0.849 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$2.21 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{gray}0.471 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.03 \mathrm{ms} \pm 13.1 \mathrm{μs}\left({\color{gray}0.566 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$2.19 \mathrm{ms} \pm 13.6 \mathrm{μs}\left({\color{gray}-2.083 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$2.49 \mathrm{ms} \pm 16.9 \mathrm{μs}\left({\color{gray}-1.504 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.20 \mathrm{ms} \pm 14.3 \mathrm{μs}\left({\color{gray}-1.473 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$2.42 \mathrm{ms} \pm 16.8 \mathrm{μs}\left({\color{gray}0.117 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$2.46 \mathrm{ms} \pm 16.2 \mathrm{μs}\left({\color{gray}1.57 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.15 \mathrm{ms} \pm 13.2 \mathrm{μs}\left({\color{gray}1.11 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$2.43 \mathrm{ms} \pm 15.4 \mathrm{μs}\left({\color{gray}0.634 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$34.8 \mathrm{ms} \pm 202 \mathrm{μs}\left({\color{gray}-3.110 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$27.8 \mathrm{ms} \pm 140 \mathrm{μs}\left({\color{gray}2.13 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$29.8 \mathrm{ms} \pm 193 \mathrm{μs}\left({\color{gray}1.37 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$26.5 \mathrm{ms} \pm 161 \mathrm{μs}\left({\color{lightgreen}-15.414 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$33.3 \mathrm{ms} \pm 178 \mathrm{μs}\left({\color{gray}-2.696 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$40.2 \mathrm{ms} \pm 270 \mathrm{μs}\left({\color{gray}-0.308 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$30.9 \mathrm{ms} \pm 170 \mathrm{μs}\left({\color{gray}-4.313 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$68.1 \mathrm{ms} \pm 327 \mathrm{μs}\left({\color{gray}-1.392 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$27.1 \mathrm{ms} \pm 195 \mathrm{μs}\left({\color{lightgreen}-11.268 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$207 \mathrm{ms} \pm 840 \mathrm{μs}\left({\color{lightgreen}-7.661 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$8.47 \mathrm{ms} \pm 54.6 \mathrm{μs}\left({\color{gray}-4.508 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$8.51 \mathrm{ms} \pm 49.1 \mathrm{μs}\left({\color{lightgreen}-6.914 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$8.61 \mathrm{ms} \pm 45.0 \mathrm{μs}\left({\color{lightgreen}-5.995 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$8.50 \mathrm{ms} \pm 49.4 \mathrm{μs}\left({\color{lightgreen}-5.135 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$8.65 \mathrm{ms} \pm 49.0 \mathrm{μs}\left({\color{gray}-1.986 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$8.62 \mathrm{ms} \pm 51.8 \mathrm{μs}\left({\color{gray}-0.076 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$8.63 \mathrm{ms} \pm 55.1 \mathrm{μs}\left({\color{gray}-1.280 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$8.78 \mathrm{ms} \pm 48.5 \mathrm{μs}\left({\color{gray}-0.002 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$8.80 \mathrm{ms} \pm 51.8 \mathrm{μs}\left({\color{gray}-0.018 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$9.06 \mathrm{ms} \pm 55.1 \mathrm{μs}\left({\color{gray}-1.111 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1	$$8.92 \mathrm{ms} \pm 46.8 \mathrm{μs}\left({\color{gray}-4.525 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$9.11 \mathrm{ms} \pm 60.4 \mathrm{μs}\left({\color{gray}0.517 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$9.00 \mathrm{ms} \pm 44.9 \mathrm{μs}\left({\color{gray}-0.196 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$9.08 \mathrm{ms} \pm 55.2 \mathrm{μs}\left({\color{gray}1.99 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$9.17 \mathrm{ms} \pm 54.6 \mathrm{μs}\left({\color{gray}1.12 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$9.19 \mathrm{ms} \pm 56.2 \mathrm{μs}\left({\color{gray}-0.450 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$9.00 \mathrm{ms} \pm 57.8 \mathrm{μs}\left({\color{gray}-2.187 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$9.12 \mathrm{ms} \pm 58.2 \mathrm{μs}\left({\color{gray}-2.227 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$8.99 \mathrm{ms} \pm 44.5 \mathrm{μs}\left({\color{gray}-0.654 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$6.57 \mathrm{ms} \pm 39.3 \mathrm{μs}\left({\color{gray}-0.570 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$52.5 \mathrm{ms} \pm 262 \mathrm{μs}\left({\color{red}5.15 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$93.1 \mathrm{ms} \pm 427 \mathrm{μs}\left({\color{gray}0.896 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$58.8 \mathrm{ms} \pm 374 \mathrm{μs}\left({\color{red}5.72 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$66.9 \mathrm{ms} \pm 382 \mathrm{μs}\left({\color{gray}2.88 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$73.2 \mathrm{ms} \pm 408 \mathrm{μs}\left({\color{gray}3.75 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$76.4 \mathrm{ms} \pm 349 \mathrm{μs}\left({\color{gray}1.99 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$35.7 \mathrm{ms} \pm 214 \mathrm{μs}\left({\color{gray}-1.110 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$61.4 \mathrm{ms} \pm 403 \mathrm{μs}\left({\color{red}6.33 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$40.8 \mathrm{ms} \pm 202 \mathrm{μs}\left({\color{gray}-0.002 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$48.9 \mathrm{ms} \pm 184 \mathrm{μs}\left({\color{gray}2.53 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$51.8 \mathrm{ms} \pm 411 \mathrm{μs}\left({\color{gray}4.64 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$51.3 \mathrm{ms} \pm 314 \mathrm{μs}\left({\color{gray}4.29 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$102 \mathrm{ms} \pm 633 \mathrm{μs}\left({\color{red}11.6 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$111 \mathrm{ms} \pm 493 \mathrm{μs}\left({\color{red}9.92 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$15.3 \mathrm{ms} \pm 77.7 \mathrm{μs}\left({\color{lightgreen}-16.773 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$420 \mathrm{ms} \pm 1.45 \mathrm{ms}\left({\color{gray}0.304 \mathrm{\%}}\right) $$	Flame Graph