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 implicit-labs/autosymph --skill screenshot-to-lineargit clone --depth 1 https://github.com/implicit-labs/autosymphWrote 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/implicit-labs/autosymph/screenshot-to-linear)<a href="https://agentmods.dev/skills/implicit-labs/autosymph/screenshot-to-linear"><img src="https://agentmods.dev/badge/skills/implicit-labs/autosymph/screenshot-to-linear/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/implicit-labs/autosymph/screenshot-to-linear"><img src="https://agentmods.dev/badge/skills/implicit-labs/autosymph/screenshot-to-linear.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 | $0.00044 | $0.02101 |
| Opus 5.5 | $0.00018 | $0.00840 |
| Sonnet 5.5 | $0.00009 | $0.00420 |
| Haiku 4.5 | $0.00004 | $0.00210 |
Grade A, and why
screenshot-to-linear 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screenshot to Linear
Upload screenshots from iOS Simulator MCP or Playwright MCP to Linear as inline attachments. Handles the full pipeline: capture → resize → encode → upload → embed.
When to Use
- During the autosymph verify state (iOS or web)
- When the verify agent needs to upload evidence to Linear
- When the implement agent embeds artifacts in Linear comments
- Any time you have a local screenshot that needs to be in a Linear comment
The Iron Rule
Capture and upload are ONE atomic operation. NEVER capture a screenshot without uploading it to Linear in the same test item. If you defer uploads to "later," you will run out of turns and ALL evidence will be lost. This happened on ISSUE-123 (9 screenshots taken across 3 runs, 0 uploaded — all rejected).
The rhythm is: screenshot → resize → encode → upload → next item. Not: all screenshots → all uploads.
Why This Exists
Two failure modes that corrupt screenshot uploads:
-
Retina size: iOS Simulator screenshots are retina PNGs (1260x2730+, ~140KB+). Base64-encoding raw files produces ~190K chars that exceed context limits. Agents panic-resize to illegible thumbnails.
-
Cross-turn truncation: Even resized base64 (~18K chars) gets truncated by context compaction when the agent generates base64 in one API turn and calls
create_attachmentin the next. ISSUE-123 lost half its base64 this way (18,984 → 8,498 chars).
This skill uses a file-based pipeline — base64 is written to disk, never held in context across turns. The agent reads the file content in the same tool call that uploads it.
iOS Simulator Screenshots
Step 1: Capture
mcp__ios-simulator__screenshot(output_path: "verify-{item}.png")
Step 2: Resize + encode to file (SINGLE Bash call)
CRITICAL: Do this in ONE Bash command. Never let base64 sit in context across turns.
sips -Z 800 -s format jpeg verify-{item}.png --out verify-{item}.jpg 2>/dev/null && base64 -i verify-{item}.jpg > verify-{item}.b64 && wc -c < verify-{item}.b64
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 200 lines · 44 tokens per session scan A cce7aeab3fc4
screenshot-to-linear is a skill published in the GitHub repository implicit-labs/autosymph (5 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 2,101 once invoked, about $0.0002 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 2026-08-31.
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