Install
$ agentstack add skill-rodolfochicone-rc-project-rc-memory ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Memory
The one place for what RC should remember about this project across turns and sessions. It holds two kinds of durable knowledge, both as plain markdown under .rc/memory/ — no database, no binary:
- Facts — curated decisions, conventions, gotchas, glossary, and context.
- Learnings — recurring corrections/workflows distilled into confidence-scored
trigger → action
rules (the continuous-learning loop fed by the observe hook).
It is separate from rc-workflow-memory (ephemeral, per-workflow notes under .rc/tasks//) and from lesson-learned (on-demand reflection on a diff, not a store).
Store layout
.rc/memory/
INDEX.md # one line per fact — the recall entry point
.md # one durable fact per file
LEARNINGS.md # distilled trigger→action learnings, confidence-scored
observations.jsonl # raw capture appended by the observe hook (transient)
Resolve the project's .rc base directory (nearest .rc walking up; default ./.rc).
A — Facts
Each fact is one .md with frontmatter + a short body:
---
title:
scope: decision | convention | gotcha | glossary | context
key:
tags: [a, b]
source:
created:
updated:
---
INDEX.md holds one line per fact, newest last: - [](.md) — — . It is the only file you read to decide relevance; never dump fact bodies into it.
Consult (before implementing/deciding/planning): read INDEX.md, scan the one-line hooks for the task's terms, open only the matching .md. For a large store, grep -ri "" .rc/memory/.
Record a fact only when all three hold: (1) a future run would need it to avoid a mistake or rediscovery; (2) it is durable for this project, not one task's execution; (3) it is NOT already obvious from the repo, git history, PRD, or techspec. Reuse the same slug/key to update instead of duplicating. Keep each fact short; never store secrets, large code blocks, or logs.
B — Learnings (the continuous-learning loop)
When the same correction, error resolution, or workflow recurs, stop re-learning it each session and make it a learning: one trigger → action rule with a confidence score and evidence. Capture is the observe hook (on by default; RC_INSTINCTS=0 to opt out), appending {ts, tool, target} lines to .rc/memory/observations.jsonl. This skill is the distill/curate side, run deliberately. The memory-load SessionStart hook surfaces existing facts/learnings at the start of each session and nudges you to run this skill once observations accumulate (≥40 lines).
LEARNINGS.md groups atomic learnings by domain; each is one line:
## code-style
- [0.7] when adding a new error path → wrap with the project's error-wrap helper (evidence: corrected 3×; updated 2026-07-07; seen 4)
- Confidence
0.3–0.9; start fresh at0.4–0.5. One trigger → one action (split if you need "and"). - Evidence is why it exists — no evidence, not a learning.
Distill: (1) read observations.jsonl (if present) + the current session — corrections, resolved errors, sequences repeated 3+×, stated preferences. (2) Cluster into atomic trigger → action candidates; discard one-off or already-obvious ones. (3) Merge with LEARNINGS.md: new → add at 0.4–0.5 with seen 1; recurred uncontradicted → raise confidence (+0.1–0.2, cap 0.9), bump seen, refresh date; contradicted this session → lower (−0.2–0.3), drop below 0.3; stale + low → drop. (4) Write LEARNINGS.md sorted by domain then confidence, then truncate observations.jsonl so the next pass starts clean. (5) Report what was added/reinforced/weakened/dropped.
Critical rules
- Project-scoped only. Never copy memory or learnings to another project or a global location.
- Facts and learnings are curated, not a log — deliberately chosen, pruned aggressively.
- Never store secrets, tokens, credentials, large code blocks, stack traces, or raw session logs.
- When a fact or learning is contradicted by the repo or the user, correct or delete it — trust the
repo over stale memory.
- This skill writes only under
.rc/memory/; it does not edit source code.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: rodolfochicone
- Source: rodolfochicone/rc-project
- License: MIT
- Homepage: https://rodolfochicone.dev
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.