
The Skin Stapler
Tainted Pact · Assemble Entertainment · 2026-08-06
Modes: Single player · Perspectives: First person
Releases: Aug 06, 2026 (PC (Microsoft Windows))
The Skin Stapler is a retro-styled PSX grindhouse horror adventure set in the rotting, crime-soaked sprawl of Carrion City. Players follow jaded detective Dick Slater and his eager rookie partner Robbie Knox as they hunt a mysterious serial killer known only as The Skin Stapler.
The Skin Stapler is an Action and Indie game released in 2026, priced at $11.99, with a Very Positive review sentiment (90% of 604 reviews).— census verdict as of 2026-10-08
Health check
- · Not enough review history collected yet to judge health.
- · Top 19% of 27,808 Action games in the census by review count.
Review-multiple estimate from 604 total reviews — how this is computed.
All-time low: $9.74 at Steam (2026-09-19) · bundled 1×via IsThereAnyDeal
12-month high $14.99 · on sale 1 of 2 observed days (census price snapshots)
Completion
- · 92% of players earned FeFe - Master Baiter
- · 69.8% of players earned Scaroline - The Tape Collector
- · 27.6% of players earned Skin Successfully Stapled!
Global achievement rates from Steam.
Details
Post-launch support: 2 DLC released, first 2026-08-06 (Steam store data)
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 181 | 50% | 16 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Census log
- 2026-08-06First review activity on record (week of 2026-08-06).
- 2026-08-06Biggest review week on record: 22 reviews (week of 2026-08-06).
Computed from census-recorded observations only — dates are observation dates.
Recent updates
- 2026-08-06The Skin Stapler is Out Now!
- 2026-07-22The Skin Stapler Releases on August 6
- 2026-06-02NEW TRAILER DROPPED 🔥
Players also track
Don't Knock TwiceMasochisiaDARQ: Complete EditionInflictionSecret Neighbor: Hello Neighbor MultiplayerRogue HeistApsulov: End of GodsTorchlight III
Similarity via IGDB.