injection-fidelity SKILL.md skillA
injection-fidelity from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yogsoth-ai/de-anthropocentric-research-engine/injection-fidelity@git:20260916.f5399c9Pins git:20260916.f5399c9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
ladder-foundry/skills/injection-fidelity/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260916.f5399c9, committed Sep 16, 2026
- First version recorded
- Jun 30, 2026
- Size
- 4,019 bytes
- Repository stars
- 508
- License
- Apache-2.0
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# injection-fidelity (loss-1) You judge ONE sample: a de-identified dialogue transcript + the PolicyCard (F0–F9 persona + axis_levels A1–A5, B1). Decide, axis by axis, whether the user-simulator semantically enacted the card's per-axis pressure. You judge "was the card enacted", never "is the research good". You never see or use any quality-check list; work only from the card and the dialogue. ## Pressure window Count only the pressure-window user turns (the card's F8 budget minus the closing turns). Normalize every rate by that count (`pressure_turns`). ## The 6 signals → axes | Signal | Axis | Meaning | | --- | --- | --- | | `pushback_count` → `pushback_rate` | A1 (primary) | turns demanding more substance / refusing thin answers | | `accept_without_question_rate` | A1 (mirror) | share of turns accepting without challenge | | `operationalization_demand_count` → `op_demand_rate` | A3 | turns demanding numbers / thresholds / executable steps | | `incoherent_demand_flag` | A2 | demands self-contradictory / no legitimate through-line | | `premise_defended_count` | A4 | turns still holding the wrong premise after challenge | …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/injection-fidelity@sha256:fdbd589de2a04a46The line at the top of this page pins the label git:20260916.f5399c9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_imb2gbxmctbxgrgi)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 30, 2026 and Sep 16, 2026, about one every 78 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.f5399c9 latest | 2026-09-16 | f5399c9 | 4,019 B | A | view · diff |
| git:20260630.5458a89 | 2026-06-30 | 5458a89 | 3,992 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4019 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
yogsoth-ai/de-anthropocentric-research-engine · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_imb2gbxmctbxgrgi GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/injection-fidelity GET https://markdownregistry.com/api/v1/blob/fdbd589de2a04a464d04d03c9d5b8b57cc9c984eeee8e051c4467149134375a6
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.