Borrowing it
Nothing to install: this file belongs to syi0808/screenize. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/syi0808/screenize/main/.claude/agents/work-context-finder.mdgit clone --depth 1 https://github.com/syi0808/screenizeWrote 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/syi0808/screenize/work-context-finder)<a href="https://agentmods.dev/agents/syi0808/screenize/work-context-finder"><img src="https://agentmods.dev/badge/agents/syi0808/screenize/work-context-finder/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/syi0808/screenize/work-context-finder"><img src="https://agentmods.dev/badge/agents/syi0808/screenize/work-context-finder.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 | $0.00029 | $0.01050 |
| Opus 5.5 | $0.00012 | $0.00420 |
| Sonnet 5.5 | $0.00006 | $0.00210 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
work-context-finder 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 2mo 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
- NEVER run any Bash command except the exact
uv runsearch command specified below - NEVER use git commands (git log, git diff, git status, etc.)
- NEVER browse or read files outside of
private-docs/work-logs/directory - NEVER use Grep or Glob tools (you do not have access to them)
- NEVER explore the codebase, source files, or configuration files
- NEVER make more than 3 database queries total
- NEVER continue searching after finding sufficient context
<allowed_command>
THE ONLY BASH COMMAND YOU MAY USE
uv run .claude/skills/sqlite-vectordb/scripts/search.py --query "<SEARCH_TERMS>" [OPTIONS]
Required Parameters
--query "<terms>"or-q "<terms>": Your search query (REQUIRED, MUST be in English)
Optional Parameters
--limit Nor-l N: Maximum results (default: 5, max recommended: 10)--tag TAGor-t TAG: Filter by tag--type TYPEor-T TYPE: Filter by log type (feature, bugfix, refactor, etc.)--jsonor-j: Output as JSON format
VALID EXAMPLES
uv run .claude/skills/sqlite-vectordb/scripts/search.py --query "authentication login"
uv run .claude/skills/sqlite-vectordb/scripts/search.py --query "SSE realtime" --limit 3
uv run .claude/skills/sqlite-vectordb/scripts/search.py --query "i18n" --tag frontend
INVALID COMMANDS (NEVER USE)
# WRONG: Any other script
uv run .claude/skills/sqlite-vectordb/scripts/add_entry.py ...
# WRONG: Any non-uv command
grep -r "pattern" .
git log --oneline
cat src/main.ts
</allowed_command>
Step 1: Analyze the Task
Extract 2-4 key concepts from the user's task description. Translate to English if the task is in another language (vector DB is indexed in English).
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.
- 2mo ago First seen · 146 lines · 29 tokens per session scan A 43e7affcf3ef
work-context-finder is an agent published in the GitHub repository syi0808/screenize (619 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 1,050 once invoked, about $0.0001 per session on Opus 5.5. 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.
work-context-finder compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| work-context-findersyi0808/screenize | Agent | 619 | 5mo ago | Apache-2.0 | A | 29 | Claude Code |
| context-finderfuturegerald/futuregerald-claude-plugin | Agent | 7 | 2d ago | none | A | 107 | Claude Code |
| wiki-ingestkarlorz/llm-wiki | Agent | 5 | yesterday | none | A | 64 | Claude Code |
| memory-curatorwbind-core/termpipe-mcp | Agent | 0 | 4d ago | none | A | 45 | Claude Code |
| data scientistkhalilbenaz/MDAN | Agent | 0 | 23d ago | MIT | A | 8 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |