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 agentmods add skills/wallkop/opc-develop/oncallnpx skills add wallkop/opc-develop --skill oncallgit clone --depth 1 https://github.com/wallkop/opc-developWhat 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 | $0.00080 | $0.00914 |
| Opus 5 | $0.00040 | $0.00457 |
| Sonnet 5 | $0.00016 | $0.00183 |
| Haiku 4.5 | $0.00008 | $0.00091 |
Grade A, and why
oncall 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 2d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
oncall
Production diagnosis with the same evidence discipline as development: no cause claimed without the log chain and state that prove it, no fix without a covering test.
Load
${CLAUDE_PLUGIN_ROOT}/shared/core-contract.md${CLAUDE_PLUGIN_ROOT}/shared/packs/harness-verbs.md${CLAUDE_PLUGIN_ROOT}/shared/packs/evidence.md${CLAUDE_PLUGIN_ROOT}/shared/packs/decision-protocol.md${CLAUDE_PLUGIN_ROOT}/shared/formats/report-style.md- On hotfix:
${CLAUDE_PLUGIN_ROOT}/shared/packs/release-ops.md
Process
- Triage: capture the symptom (alert, user report, anomaly), when it started, who is affected. Classify severity: data loss / money / security ⇒ propose rollback or kill-switch FIRST, investigate second; degraded-but-safe ⇒ investigate first.
- Investigate through observe: first establish expected behavior from the living spec
(
docs/opc/specs/, when it exists) — regression vs works-as-specified is the first fork. Reconstruct the failing action's causal chain by correlation ID; query state read-only; check traces; diff behavior against the last known-good release — recentreleaseledger entries, merge commits, and release manifests are the change candidates. Reproduce on local/test with the matching seed when possible. - Diagnostic report —
docs/opc/incidents/<date>-<slug>.md: timeline, blast radius, root cause with the evidence chain (log lines, queries, commits), contributing factors, and the options considered. No root cause ⇒ say so explicitly and record the leading hypotheses with what would confirm each. Render and lint the same-basename.html. Lead with conclusion, user impact, evidence and next action; explain specialist terms beside their first occurrence. - Decide the path (five-piece set to the human when contested):
- rollback — hand to
deploy's rollback path; fastest when the trigger is a recent release; - hotfix (expedited path) — minimal fix on a hotfix branch per project flow; classify it by
the same engineering triggers as ordinary work. A localized fix stays
lite; a complete capability, shared-core refactor, breaking evolution, broad regression surface, or coordinated rollout usesbuild. Preserve RED/GREEN evidence and targeted regression, thenship→deploywith the incident referenced. Expedited ≠ unverified; - mitigation — config/flag/scale change with its own evidence and a revert note.
- rollback — hand to
- Always, after stabilization:
- append the root cause to
docs/opc/error-ledger.jsonl(tag it — incidents feedretro's recurrence detection like any other failure); - for P0/P1, irreversible-risk, false-green, or recurring incidents, link a project benchmark case proving GREEN → RED → GREEN, or record a human-approved waiver;
- write the long-term fix proposal: what structural change prevents the class, sized as a
litetask, onebuildincrement, or an explicitbrainstorm/architectdecision task; link it in the report; - record any harness gap the investigation exposed (missing correlation ID, missing dump,
missing prod-safe spec) — these become
harnessbacklog.
- append the root cause to
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.
- 2d ago First seen · 66 lines · 80 tokens per session scan A 626c7c917fd6
oncall is a skill published in the GitHub repository wallkop/opc-develop (11 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 914 once invoked, about $0.0004 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 2026-08-30.
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