Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add chrismbryant/claude-journal-mcp --skill find-related-workgit clone --depth 1 https://github.com/chrismbryant/claude-journal-mcpWrote 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/skills/chrismbryant/claude-journal-mcp/find-related-work)<a href="https://agentmods.dev/skills/chrismbryant/claude-journal-mcp/find-related-work"><img src="https://agentmods.dev/badge/skills/chrismbryant/claude-journal-mcp/find-related-work/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/skills/chrismbryant/claude-journal-mcp/find-related-work"><img src="https://agentmods.dev/badge/skills/chrismbryant/claude-journal-mcp/find-related-work.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 | $0.00023 | $0.01344 |
| Opus 5 | $0.00012 | $0.00672 |
| Sonnet 5 | $0.00005 | $0.00269 |
| Haiku 4.5 | $0.00002 | $0.00134 |
Grade A, and why
find-related-work 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 12d 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Related Work Skill
You have the ability to search the journal for past work related to the current task.
When to Use This Skill
Use this skill proactively when:
-
Facing similar problems
- Current task resembles past work
- User asks to implement something you may have done before
- Pattern recognition suggests related history
-
Making technical decisions
- Architecture choices similar to past decisions
- Technology selection (libraries, frameworks)
- Design patterns or approaches
-
Troubleshooting issues
- Bug seems familiar
- Similar error messages or symptoms
- Related to previously fixed issues
-
Building on past work
- Extending existing features
- Integrating with previous implementations
- Following established patterns
-
User explicitly asks
- "Have we done something like this before?"
- "When did we implement X?"
- "How did we solve Y last time?"
- "Find anything about Z"
How to Find Related Work
Method 1: Keyword search
journal_search(
query="authentication", # Technology, concept, or feature
limit=10
)
Method 2: Time-based search
journal_time_query(
time_expression="last month",
query="caching" # Optional: narrow down results
)
Method 3: Project-specific search
journal_search(
query="database migration",
project="my-api" # Focus on specific project
)
Method 4: Project history
journal_list_recent(
project="mobile-app",
limit=20 # Get comprehensive project context
)
Search Strategies
Broad to narrow:
- Start with general terms ("auth", "cache")
- Narrow if too many results ("OAuth2", "Redis cache")
- Add project filter if needed
Technology-focused:
- Framework names: "React", "FastAPI", "PostgreSQL"
- Library names: "JWT", "Redis", "SQLAlchemy"
- Tool names: "Docker", "GitHub Actions", "pytest"
Concept-focused:
- Features: "authentication", "notifications", "file upload"
- Patterns: "caching", "rate limiting", "error handling"
- Operations: "deployment", "migration", "refactoring"
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.
- 12d ago First seen · 213 lines · 23 tokens per session scan A a83515ef93cb
find-related-work is a skill published in the GitHub repository chrismbryant/claude-journal-mcp (6 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 1,344 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
memory-management
Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.
vellum-memory-v3-migration
One-time migration of an existing memory-v2 concept corpus into the memory-v3 section-grain "wiki" — topical articles with a stand-alone lead and queryable sections — with loss-proof staging, assistant-reviewed authoring, and a retrieval-eval gate before cutover.
memory-audit-pattern-extraction
A method for investigating repeated mistakes by comparing related memories and checking whether an earlier reminder failed. It looks at where the reminder was stored, when it was created, and whether it was strong enough to prevent the mistake.
memorix-sessions
Use when resuming work, preparing handoff context, binding an HTTP control-plane project, or deciding whether sessionstart is useful.
memory-processor
Iva's daily-memory processor. Reads the day's two-sided transcript (daily/YYYY-MM-DD.md), distills noteworthy entities / decisions / ideas into typed autograph cards, links them into the graph, and produces a daily-summary card (topics + MOC) that navigates down to the raw transcript and up to the week. Model-agnostic…
frontmcp-extensibility
Use when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools. Covers VectoriaDB for in-memory semantic and vector search (ML-based embeddings or TF-IDF keyword engines, with persistence) and the tamper-evident, hash-chained skill…