SRE-801: Add version comments to hashintel/.github workflow pins

[claude]

Requested via Slack thread

🌟 What is the purpose of this PR?

Before: renovate silently stopped tracking this repo's hashintel/.github reusable-workflow pins once the repo runs renovate ≥43.109.0, because bare-SHA action pins without a version comment are disabled by the unversioned-reference rule.

After: every uses: hashintel/.github/...@{sha} pin carries a # main version comment, so renovate resumes digest updates for them, and the pins are current (b52c15784c5c7f6cfb543d9ecdbb5312aea62237).

🔗 Related links

• SRE-801 (internal)
• Renovate PR Update GitHub Action hashintel/.github to b52c157 #9012 (already merged) bumped these pins to the same SHA but without version comments

🔍 What does this change?

• .github/workflows/housekeeping.yml: 1 hashintel/.github reusable-workflow pin annotated with # main
• .github/workflows/preflight.yml: 3 hashintel/.github reusable-workflow pins annotated with # main
• All 4 pins remain at b52c15784c5c7f6cfb543d9ecdbb5312aea62237 (current main of hashintel/.github)

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

• does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

• are internal and do not require a docs change

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

• do not affect the execution graph

🛡 What tests cover this?

• None — CI-workflow-only change; the workflows themselves running on this PR act as validation

❓ How to test this?

1. Confirm the diff only touches uses: hashintel/.github/... lines (SHA unchanged, # main comment appended)
2. Confirm CI workflows resolve the reusable workflows and run normally

[vercel]

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

Project	Deployment	Actions	Updated (UTC)
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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
✅ 96 untouched benchmarks

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 claude/sre-801-pin-version-comments (e8b839d) with main (5a90775)}

[cursor]

PR Summary

Low Risk
Comment-only workflow metadata; no SHA or job logic changes, with runtime behavior unchanged.

Overview
Adds # main version comments to all four hashintel/.github reusable-workflow uses pins in housekeeping.yml (1) and preflight.yml (3). Commit SHAs are unchanged.

This aligns bare-SHA pins with Renovate’s unversioned-reference behavior so digest updates for those shared workflows are tracked again on Renovate ≥43.109.0.

^{Reviewed by Cursor Bugbot for commit e8b839d. Bugbot is set up for automated code reviews on this repo. Configure here.}

[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	$$27.8 \mathrm{ms} \pm 212 \mathrm{μs}\left({\color{gray}1.48 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.47 \mathrm{ms} \pm 24.1 \mathrm{μs}\left({\color{gray}-1.686 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$12.4 \mathrm{ms} \pm 125 \mathrm{μs}\left({\color{gray}-2.574 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$43.9 \mathrm{ms} \pm 366 \mathrm{μs}\left({\color{gray}2.17 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.6 \mathrm{ms} \pm 159 \mathrm{μs}\left({\color{gray}1.90 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$24.1 \mathrm{ms} \pm 205 \mathrm{μs}\left({\color{gray}-0.302 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$28.5 \mathrm{ms} \pm 271 \mathrm{μs}\left({\color{gray}0.440 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.76 \mathrm{ms} \pm 22.9 \mathrm{μs}\left({\color{gray}-2.161 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.4 \mathrm{ms} \pm 138 \mathrm{μs}\left({\color{gray}-3.521 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.87 \mathrm{ms} \pm 26.9 \mathrm{μs}\left({\color{gray}0.965 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.07 \mathrm{ms} \pm 21.4 \mathrm{μs}\left({\color{gray}1.69 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.44 \mathrm{ms} \pm 19.2 \mathrm{μs}\left({\color{gray}1.80 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.26 \mathrm{ms} \pm 32.9 \mathrm{μs}\left({\color{gray}-0.477 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.61 \mathrm{ms} \pm 27.2 \mathrm{μs}\left({\color{gray}0.737 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.22 \mathrm{ms} \pm 36.1 \mathrm{μs}\left({\color{gray}0.856 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.55 \mathrm{ms} \pm 37.6 \mathrm{μs}\left({\color{gray}0.326 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.53 \mathrm{ms} \pm 23.2 \mathrm{μs}\left({\color{gray}0.934 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.16 \mathrm{ms} \pm 21.0 \mathrm{μs}\left({\color{gray}0.699 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.66 \mathrm{ms} \pm 17.2 \mathrm{μs}\left({\color{gray}-1.303 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.55 \mathrm{ms} \pm 14.7 \mathrm{μs}\left({\color{gray}-0.705 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.64 \mathrm{ms} \pm 17.7 \mathrm{μs}\left({\color{gray}-2.342 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.92 \mathrm{ms} \pm 18.8 \mathrm{μs}\left({\color{gray}-2.776 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.71 \mathrm{ms} \pm 14.2 \mathrm{μs}\left({\color{gray}-2.438 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.89 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}-4.109 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.08 \mathrm{ms} \pm 19.6 \mathrm{μs}\left({\color{gray}-0.574 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.80 \mathrm{ms} \pm 16.6 \mathrm{μs}\left({\color{gray}0.165 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$3.03 \mathrm{ms} \pm 16.7 \mathrm{μs}\left({\color{gray}-0.766 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.50 \mathrm{ms} \pm 26.1 \mathrm{μs}\left({\color{gray}-0.611 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.01 \mathrm{ms} \pm 19.3 \mathrm{μs}\left({\color{gray}-0.445 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.34 \mathrm{ms} \pm 19.0 \mathrm{μs}\left({\color{gray}0.137 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.45 \mathrm{ms} \pm 25.1 \mathrm{μs}\left({\color{gray}0.366 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.00 \mathrm{ms} \pm 17.0 \mathrm{μs}\left({\color{gray}0.299 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.37 \mathrm{ms} \pm 19.5 \mathrm{μs}\left({\color{gray}-1.388 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$43.0 \mathrm{ms} \pm 283 \mathrm{μs}\left({\color{gray}0.578 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$32.8 \mathrm{ms} \pm 188 \mathrm{μs}\left({\color{gray}-2.344 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$35.9 \mathrm{ms} \pm 217 \mathrm{μs}\left({\color{gray}0.833 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$31.3 \mathrm{ms} \pm 174 \mathrm{μs}\left({\color{gray}-1.988 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$42.4 \mathrm{ms} \pm 260 \mathrm{μs}\left({\color{gray}0.497 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$49.8 \mathrm{ms} \pm 237 \mathrm{μs}\left({\color{gray}-0.090 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$40.4 \mathrm{ms} \pm 227 \mathrm{μs}\left({\color{gray}-0.042 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$87.6 \mathrm{ms} \pm 685 \mathrm{μs}\left({\color{gray}-4.957 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$33.7 \mathrm{ms} \pm 220 \mathrm{μs}\left({\color{gray}-1.203 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$276 \mathrm{ms} \pm 1.07 \mathrm{ms}\left({\color{gray}-0.586 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$10.8 \mathrm{ms} \pm 68.4 \mathrm{μs}\left({\color{gray}-0.575 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$10.9 \mathrm{ms} \pm 73.4 \mathrm{μs}\left({\color{gray}1.22 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$11.0 \mathrm{ms} \pm 84.5 \mathrm{μs}\left({\color{gray}1.31 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$10.8 \mathrm{ms} \pm 59.7 \mathrm{μs}\left({\color{gray}0.256 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$10.9 \mathrm{ms} \pm 57.1 \mathrm{μs}\left({\color{gray}-0.247 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$10.8 \mathrm{ms} \pm 68.4 \mathrm{μs}\left({\color{gray}-1.090 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$11.0 \mathrm{ms} \pm 66.3 \mathrm{μs}\left({\color{gray}0.627 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$11.1 \mathrm{ms} \pm 72.8 \mathrm{μs}\left({\color{gray}1.64 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$11.3 \mathrm{ms} \pm 66.3 \mathrm{μs}\left({\color{gray}2.61 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.3 \mathrm{ms} \pm 106 \mathrm{μs}\left({\color{gray}2.72 \mathrm{\%}}\right) $$	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	$$11.4 \mathrm{ms} \pm 65.7 \mathrm{μs}\left({\color{gray}1.70 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$11.3 \mathrm{ms} \pm 53.5 \mathrm{μs}\left({\color{gray}1.38 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$11.4 \mathrm{ms} \pm 69.8 \mathrm{μs}\left({\color{gray}2.36 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$11.4 \mathrm{ms} \pm 93.8 \mathrm{μs}\left({\color{gray}3.14 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$11.3 \mathrm{ms} \pm 64.7 \mathrm{μs}\left({\color{gray}0.821 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$11.2 \mathrm{ms} \pm 58.7 \mathrm{μs}\left({\color{gray}-2.024 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$11.4 \mathrm{ms} \pm 88.9 \mathrm{μs}\left({\color{gray}0.982 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$11.2 \mathrm{ms} \pm 63.2 \mathrm{μs}\left({\color{gray}0.890 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$11.7 \mathrm{ms} \pm 75.4 \mathrm{μs}\left({\color{gray}4.29 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$8.75 \mathrm{ms} \pm 49.0 \mathrm{μs}\left({\color{gray}-0.403 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$57.4 \mathrm{ms} \pm 498 \mathrm{μs}\left({\color{gray}-1.503 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$115 \mathrm{ms} \pm 660 \mathrm{μs}\left({\color{gray}0.051 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$64.4 \mathrm{ms} \pm 521 \mathrm{μs}\left({\color{gray}0.186 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$74.3 \mathrm{ms} \pm 420 \mathrm{μs}\left({\color{gray}0.133 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$85.5 \mathrm{ms} \pm 499 \mathrm{μs}\left({\color{gray}1.18 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$90.1 \mathrm{ms} \pm 498 \mathrm{μs}\left({\color{gray}-0.264 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$44.7 \mathrm{ms} \pm 341 \mathrm{μs}\left({\color{gray}-3.409 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$75.4 \mathrm{ms} \pm 493 \mathrm{μs}\left({\color{gray}-2.355 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$51.4 \mathrm{ms} \pm 300 \mathrm{μs}\left({\color{gray}-1.971 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$60.2 \mathrm{ms} \pm 365 \mathrm{μs}\left({\color{gray}-3.861 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$63.9 \mathrm{ms} \pm 503 \mathrm{μs}\left({\color{gray}-1.230 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$63.9 \mathrm{ms} \pm 418 \mathrm{μs}\left({\color{gray}-2.349 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$127 \mathrm{ms} \pm 689 \mathrm{μs}\left({\color{red}10.8 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$136 \mathrm{ms} \pm 610 \mathrm{μs}\left({\color{red}7.98 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$19.3 \mathrm{ms} \pm 136 \mathrm{μs}\left({\color{lightgreen}-19.674 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$548 \mathrm{ms} \pm 1.43 \mathrm{ms}\left({\color{gray}-1.748 \mathrm{\%}}\right) $$	Flame Graph