Map: os-me, a skill that predicts and gives Jared's response #936
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Reference
jared/cc-os#936
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Problem
The os-me plugin does not yet exist as a working first version.
Destination
A working first version of the
os-meplugin:/os-me:predictand/os-me:respondgive the action Jared would choose, from a private Store that the skill builds and changes itself, with a replay score from a held-out set.Notes
cc-os. Readplugins/cc-architect/references/conventions/cc-os-naming.mdbefore you add a skill (nocommands/directory, noname:field inSKILL.md). Runbin/refresh-pluginsafter changes. Use/mattpocock-skills:writing-for-agentsfor skill text.cc-os/plugins/os-me/that the skill cannot change.Decisions so far
Rulings from the charting session on 2026-10-04 (no ticket holds them):
Job: predict the action Jared would choose and give it to the other agent in his place.
/os-me:predictreturns a labeled Prediction for Jared to read./os-me:respondgives the response to the agent to act on (Agency).Authority: a Prediction does not replace a ruling that is Jared's, unless he invokes with Agency.
Score: replay of past transcripts (hide Jared's reply, predict it, compare). The live count of his corrections is a trend only. Only back-and-forth exchanges count; silence from Jared is not evidence.
Reach: global plugin. First tuning on
cc-ostranscripts. Learn how Jared decides (how he frames a problem, how he challenges a first result, when an answer is good enough), not only what he decided.Freedom: the skill is fully free inside the Store: structure, documents, heuristics, retrieval, templates, code. It prefers a small amount of high-quality material and removes stale material. Wide changes first; later it updates only from transcripts where Jared pushed back.
Store home: its own private repository. It holds how Jared decides, and no client facts.
Shell outside the Store: entry skills, hook, guardrails, a held-out set that the skill does not read, and a fixed score script.
Guardrails: write only inside the Store; transcripts read-only; no credential files and no secret values; commit each meaningful change; no destructive git action (no force-push, no change or deletion of existing commits, no deletion of the repository). No token limit yet: record token use per run and set a limit after the first runs.
Existing knowledge: the
feedback-memory files and the takedown rulings stay where they are. The skill reads them as sources.Learning time: a hook only logs each invocation. The next invocation processes the logged sessions inline.
At invocation the skill can dispatch read-only research on random samples of
cc-ostranscripts (not the held-out sessions). Use it, and then update the Store.Self-review: the skill reviews its own transcripts for efficiency and response quality, daily at first and less often when it is tuned.
Record the os-me decision as an ADR — ADR-0272 Accepted; no conflict with an Accepted ADR.
Build the os-me Shell: predict and respond skills, invocation log hook — predict is user and model invocable, respond is user only; fork agent first, fresh agent as fallback; hook logs to the Store queue.
Create the os-me Store repository and its charter — private repository at ~/dev/os-me-store with charter, suggestions, entry.
Build the held-out set and the fixed replay score for os-me — 15 percent of sessions held out by id hash; os-me-eval scores same-action agreement with a JSON judge.
Run the os-me kickoff: the skill builds its first Store from transcripts — Store 483098e: one entry procedure, four judgment files, 29 cases, learning loop.
Score the first os-me version and try it live with Jared — baseline 1 of 20; live invocation works through the fallback agent; open for Jared's review.
Not yet specified
cc-os, and on work that is not code.Out of scope
Skeptic DROP of ticket 'os-backlog cannot apply wayfinder labels to an issue': depth-1 limit (AI-created parent), no hard floor. Labels wayfinder:map and wayfinder:task remain unapplied on #936-#942; a human can add them in the Forgejo UI, or a label-apply command can be filed once the labels are in actual use.