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 broadinstitute/fiss-mcp --skill manage-context-sizegit clone --depth 1 https://github.com/broadinstitute/fiss-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/broadinstitute/fiss-mcp/manage-context-size)<a href="https://agentmods.dev/skills/broadinstitute/fiss-mcp/manage-context-size"><img src="https://agentmods.dev/badge/skills/broadinstitute/fiss-mcp/manage-context-size/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/broadinstitute/fiss-mcp/manage-context-size"><img src="https://agentmods.dev/badge/skills/broadinstitute/fiss-mcp/manage-context-size.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 | $0.00033 | $0.01113 |
| Opus 5 | $0.00016 | $0.00557 |
| Sonnet 5 | $0.00007 | $0.00223 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
manage-context-size 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 11d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing Context Size
This skill teaches you how to avoid context exhaustion when working with large Terra datasets, scattered workflows, and verbose Cromwell metadata.
Context Size Risks
These operations can exhaust your context window:
| Operation | Risk Level | Potential Size |
|---|---|---|
get_job_metadata (full) |
CRITICAL | 100K+ tokens per workflow |
get_workflow_logs with many shards |
HIGH | 25K+ tokens per task log |
get_entities for large tables |
HIGH | 10K+ tokens for 100 entities |
get_submission_status with include_inputs=True |
MEDIUM | 30K+ tokens for 9 workflows |
Safe Patterns
1. Always Use Summary Mode for Metadata
# SAFE: Returns ~1-2K tokens
get_job_metadata(workspace_namespace, workspace_name, submission_id, workflow_id)
# DANGEROUS: Can return 100K+ tokens
# (There is no "full" mode - the tool protects you)
Summary mode is the default. It returns structured, actionable information without the verbose raw metadata.
2. Get Log URLs Before Fetching Content
For scattered workflows (50+ shards), fetching all logs can quickly exhaust context.
# Step 1: Get URLs only (fast, small response)
get_workflow_logs(
workspace_namespace, workspace_name, submission_id, workflow_id,
fetch_content=False # Default
)
# Step 2: Identify which specific tasks failed
get_job_metadata(..., mode="summary")
# Step 3: Fetch content only for failed tasks you need
# (Consider fetching logs one at a time for scattered workflows)
3. Check Table Sizes Before Fetching Entities
# Step 1: Check row counts
get_workspace_data_tables(workspace_namespace, workspace_name)
# Response: {"tables": [{"name": "sample", "count": 5000}, ...]}
# Step 2: If count > 100, reconsider whether you need all entities
# Often, specific entity names from workflow inputs are sufficient
4. Limit Workflow Count in Submission Status
# Default: Returns first 10 workflows (manageable)
get_submission_status(workspace_namespace, workspace_name, submission_id)
# For large submissions, the default limit protects you
# Only use max_workflows=0 if you truly need all workflow details
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.
- 11d ago First seen · 139 lines · 33 tokens per session scan A 2a9a8ac2cf84
manage-context-size is a skill published in the GitHub repository broadinstitute/fiss-mcp (5 stars, last pushed 7d ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,113 once invoked, about $0.0002 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.
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