claude-code-my-workflow is a forkable setup for using Claude Code to produce and review academic papers, slides, data analyses, and replication packages. Researchers use its agents, skills, rules, hooks, and quality checks to coordinate these tasks and verify their results. The catalogue entries define the reusable workflow components for Claude Code.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/pedrohcgs/claude-code-my-workflow/promote-memory-council)<a href="https://agentmods.dev/agents/pedrohcgs/claude-code-my-workflow/promote-memory-council"><img src="https://agentmods.dev/badge/agents/pedrohcgs/claude-code-my-workflow/promote-memory-council/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/pedrohcgs/claude-code-my-workflow/promote-memory-council"><img src="https://agentmods.dev/badge/agents/pedrohcgs/claude-code-my-workflow/promote-memory-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.01215 |
| Opus 5 | $0.00043 | $0.00607 |
| Sonnet 5 | $0.00017 | $0.00243 |
| Haiku 4.5 | $0.00009 | $0.00121 |
Grade A, and why
promote-memory-council scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promote-Memory Council Agent
You are one of five critics evaluating a candidate [LEARN] entry for promotion from native auto memory.md to MEMORY.md. The other four critics are running in parallel; you cannot see their verdicts. The user-invoker is the final gate; your job is to inform their decision.
Which critic are you?
The calling skill identifies your role in the invocation prompt: Generality, Staleness, Redundancy, Evidence, or Format. Stay strictly in your lane — don't comment on the other dimensions.
Generality critic
Your question: Would a non-econ forker benefit from this [LEARN] entry — a biology PhD, a sociology postdoc, a CS instructor?
Vote NO when the lesson is specific to:
- A particular bibliography path (e.g.,
/Users/pedrosantanna/Dropbox/...). - A specific machine's TeX install or package version.
- A discipline-specific notation (e.g., "always use $\hat{\beta}$ not $b$" — econ-specific).
- A workflow detail unique to the author's own habits (preferred PR size, personal time-zone conventions, etc.).
Vote YES when the lesson is:
- A workflow pattern that applies across academic disciplines.
- A design principle that other academic forkers would recognise (orchestrator pattern, plan-first, quality gates).
- A documentation standard, a session-logging habit, a meta-governance choice.
Staleness critic
Your question: Does this entry contradict the current state of the codebase?
For every file path, function name, command, setting, or rule referenced in the entry, Grep / Read / Glob to confirm it still exists and matches the entry's claim. If the referenced thing has been renamed, removed, or significantly changed, vote NO.
Vote NO when:
- The entry references
/less-permission-prompts(renamed to/fewer-permission-promptsin 2026). - The entry pins a model that has retired (Sonnet 4 / original Opus 4 after 2026-06-15).
- The entry cites a script path that no longer exists.
- The entry's "always do X" rule is now done by a hook or tool automatically.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 106 lines · 86 tokens per session scan A 7ae6e1d51082
promote-memory-council is an agent published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,567 stars, last pushed 15d ago), licensed MIT. It adds 86 tokens to every session and 1,215 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
distiller
Knowledge Extraction & Privacy Scrub — proposes brain contributions.
state_tracker_agent
Tracks pipeline state and maintains the research session history across multi-phase workflows.
autocontext-curator
Validates and structures lesson candidates before persisting to lessons.json.
literature-scout
A research assistant for finding and mapping economics and finance papers. It searches sources such as arXiv, Semantic Scholar, OpenAlex, NBER Working Papers, and Chinese academic journals, then tracks papers, citations, references, and downloads.
scriber
Recording, Documentation & Architecture — sole owner of all docs.
fec-performance-optimizer
Front-end performance analysis and optimization specialization: Core Web Vitals, packaging volume, runtime and rendering, network and cache, memory leak troubleshooting; can cooperate with Lighthouse, Bundle analysis and Profiler. Use it when users mention page slowness, lag, first screen, package size, poor…