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 DasDigitaleMomentum/opencode-processing-skills --skill report-environment-issuegit clone --depth 1 https://github.com/DasDigitaleMomentum/opencode-processing-skillsWrote 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/dasdigitalemomentum/opencode-processing-skills/report-environment-issue)<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/report-environment-issue"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/report-environment-issue/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/dasdigitalemomentum/opencode-processing-skills/report-environment-issue"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/report-environment-issue.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 | $0.00038 | $0.00709 |
| Opus 5.5 | $0.00015 | $0.00284 |
| Sonnet 5.5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
report-environment-issue 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 1mo 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Report Environment Issue
Capture issues that are outside the current work package's control, so recurring environment friction becomes visible and can be improved over time.
When to Use
Use when work is blocked or degraded by the environment rather than by the product code or gated scope, for example:
- missing tool, binary, permission, or credential
- sandbox, network, proxy, or filesystem restriction
- installer, path, symlink, or harness configuration problem
- tool, MCP, or browser provider failure or flakiness
- provider, model, or runtime constraint
Do not use for product bugs, review findings, plan changes, or user-owned decisions. Those keep their own workflows.
Execution Model
- The Maintainer records issues it observed directly or that a subagent reported in its return or digest.
doc-explorermay maintain the log when routed for bulk curation or deduplication cleanup.- Subagents do not write the log; they surface a compact
Environment: <category>: <symptom>note in their return.
Workflow
- Decide whether the issue is environmental (outside the work package's control) and whether it is fixable now.
- Fixable within the current package and scope → fix it; do not log it.
- Not fixable now → record it here.
- Read
docs/environment-issues.mdif it exists; otherwise create it fromtpl-environment-issues.md. - Match an existing entry by category plus normalized symptom.
- Match → increment occurrences, update last seen, adjust status or workaround if changed, and append a history line.
- No match → assign the next
ENV-NNNID and add both a summary row and an entry.
- Keep entries short and evidence-based. Never invent a cause; record the exact symptom and the observed workaround.
- Report the recorded ID back to the user or main loop.
Output Contract
Return only:
- Recorded:
ENV-NNN(new) |ENV-NNN(updated) | none - File:
docs/environment-issues.md - Summary: one line: category + symptom
- Next: stop | primary decision required
What ships with it
1 file 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.
- 1mo ago First seen · 74 lines · 38 tokens per session scan A 1f5aa0ec6c5f
report-environment-issue is a skill published in the GitHub repository DasDigitaleMomentum/opencode-processing-skills (60 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 709 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 2026-09-10.
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