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Apply Actor-Network Theory (Latour, Callon) to trace how human and non-human actors (actants) form networks through translation processes.
Passed 17 of 22 test cases with the skill, and 15 of 22 without it.
and 2 more in the full report
3 fixed14 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you conduct an Actor-Network Theory analysis on the rollout of Electronic Health Record (EHR) systems in regional hospital networks? I'd like the output formatted into distinct sections: first, identify the focal actor and obligatory passage point; second, build a detailed actant map table showing each human and non-human entity, their classification, role, and interests; third, detail the four-stage translation sequence from initial problematization through to mobilization; fourth, evaluate overall network stability including stabilizing drivers, weaknesses, and black boxes; and finally, highlight the main implications and counterfactuals if key components were removed.
| Checked | Without skill | With skill |
|---|---|---|
| The main header begins with the top-level title ## ANT Analysis: | Missed | Passed |
| The Actant Map table includes human hospital personnel alongside non-human software and hardware entities. | Passed | Passed |
| The implications section explicitly includes a counterfactual assessment of what occurs if key actants are removed. | Passed | Passed |
The instructions your model reads when the skill loads.
Actor-Network Theory treats human and non-human entities symmetrically as "actants" that form networks through processes of translation. Developed by Latour, Callon, and Law, ANT traces how heterogeneous networks are assembled, stabilized, and sometimes dissolved — rejecting the a priori distinction between the social and the technical.
IRON LAW: Non-human actors have AGENCY in ANT — treating technology
as a passive tool violates the framework's core principle. If your
analysis strips agency from artifacts, you are NOT doing ANT.
Key assumptions:
Select the phenomenon to trace. Follow the actors — do not impose pre-existing categories.
test cases passed, vs 15 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.