agentsclimarketplace

Source ingestion

Skill 0SxD/ce-rd-os/skills/source_ingestion

Use this skill whenever new source material enters the workstream: uploaded files, URLs, paths to local folders, MCP-attached datasets, or pasted text blocks. Trigger when the user says "ingest this", "absorb these sources", "add to the corpus", "read this and apply", or attaches files at session start. Runs the DETECT, NORMALIZE, INTERROGATE, SCORE, ROUTE loop. Quarantines anything that cannot be conformed.From its SKILL.md

Install
npx -y skills add 0SxD/ce-rd-os --skill source_ingestion

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.6 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

source_ingestion

The five-phase loop applied to every incoming source.

DETECT

Identify what kind of source this is. The agent classifies by:

  • Format. PDF, MD, HTML, TXT, JSON, YAML, CSV, code file, image, binary archive, MCP stream, web URL.
  • Provenance. User-uploaded, project-knowledge, MCP-fetched, web-search-result, agent-generated.
  • Tier per system_directive source hierarchy. Tier 1, 2, 3, or 4.
  • Packet shape. Conformant, adjacent, or foreign. See references/packet_shapes.md.

Output of DETECT: a packet metadata record with format, provenance, tier, packet_shape fields.

NORMALIZE

Convert the source to a clean text representation the agent can read.

  • PDF: text extraction, OCR if needed, structured table extraction.
  • HTML: strip navigation, extract main content, preserve citations.
  • Code: keep verbatim, classify by language, extract docstrings.
  • Image: visual description plus any extractable text.
  • Binary archives: list contents, extract relevant files, normalize each.

Output of NORMALIZE: clean markdown or text, with original formatting preserved where load-bearing.

INTERROGATE

Ask the source the load-bearing questions before scoring it.

The Socratic question patterns are in references/socratic_question_bank.md. Cap at three questions per ingestion turn so the agent and user can review answers without overwhelm.

Standard interrogation set:

  1. What is this source's claim? One sentence.
  2. What is the evidence? Citation, methodology, sample size.
  3. What does it not cover? Negative space matters as much as positive content.
  4. Who else has cited it? Provenance signal.
  5. What would falsify it? If nothing could falsify it, it is not Tier 2 evidence.

If the source cannot answer the interrogation (it is too short, too vague, or the user does not know), the agent flags it and asks the user how to proceed.

SCORE

Apply the Trinity rubric (default boolean-atomic mode) to the source.

The 9 cells:

CoverageSelf-containedImportance
Pathos (does this serve our mission?)P-CovP-SelfP-Imp
Ethos (is the source itself credible?)E-CovE-SelfE-Imp
Logos (does the rubric pass?)L-CovL-SelfL-Imp

Boolean-atomic: each cell is 0 or 1. Default threshold for ingestion: all 9 cells must pass.

Lower thresholds (e.g., 7 of 9) are acceptable for adjacent packet shapes (see references/packet_shapes.md) provided the missing cells are flagged in the source's metadata record.

ROUTE

Send the scored source to the right destination.

OutcomeDestination
All 9 cells pass, conformant shapereferences/ if it is a paraphrase of a Tier-1 source, or directly cited inline.
7-8 cells pass, conformant or adjacent shapeInline use with explicit caveat about the missing cells.
Below 7 cells, any shapeQuarantine. See references/quarantine_procedure.md.
Foreign shape regardless of cellsQuarantine. The agent does not silently coerce foreign sources into the rubric.
Source claims rubric exemption ("trust me, this is legit")Quarantine until the user provides the missing evidence.

Quarantine

Quarantined sources are placed in a project-side QUARANTINE/ folder with an explanatory README. The user can override quarantine via the procedure in references/quarantine_procedure.md. Override requires explicit user confirmation per turn.

The agent never silently overrides quarantine. The agent never removes the quarantine warning from a source's metadata record.

What this skill does NOT do

  • Does not paraphrase or transform the source's content for the user unless explicitly asked. The user reads the original first.
  • Does not auto-cite. Citations are added by the agent only after the source clears all 9 cells.
  • Does not rewrite or summarize sources beyond a 30-word ceiling per source per response, per the system_directive output contract.
  • Does not load the source's full body into the conversation if the source is over roughly 5000 lines. Instead, the agent registers the source and accesses it on demand via tool calls.

Multi-turn handling

If the source set exceeds the host's context window, the agent:

  1. Tells the user the limit was hit.
  2. Saves a partial ingestion record as a host-side note.
  3. Asks the user to delete the just-ingested sources from the host's active context.
  4. Asks the user to re-add the next batch.
  5. Resumes ingestion from the partial record.

This is the multi-turn pattern documented in packets/PROCEED.md.

Citations

  • arXiv:2507.17746, RaR, for the Coverage / Self-contained / Importance rubric design.
  • arXiv:2510.07743, OpenRubrics, for synthetic rubric generation in novel domains.
  • The packet-shape classification (conformant, adjacent, foreign) is documented in references/packet_shapes.md.
  • The quarantine procedure is documented in references/quarantine_procedure.md.

End source_ingestion.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,871. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.