aeon-skill-evals
Quality net for installed skills. Each skill can declare an assertion manifest; outputs are checked against it; failing assertions surface regressions and route concrete fixes.
Manifest format
token-movers:
min_words: 200
required_patterns: ["Top movers", "24h"]
forbidden_patterns: ["I cannot", "as an AI"]
must_cite_source: true
min_distinct_items: 5
narrative-tracker:
min_words: 400
required_sections: ["TRANSITIONS", "POSITIONS", "MAP"]
forbidden_patterns: ["exciting", "consider"]
must_have_position_call: true
Supported assertions: min_words / max_words, required_patterns / forbidden_patterns, required_sections, must_cite_source, min_distinct_items, output_pattern (regex), and per-skill-family custom binary checks.
Operations
eval — run every manifest-defined skill against its latest output.eval --skill=NAME — one skill.bootstrap --skill=NAME — generate a starter manifest from recent successful runs.
Regression states
| State |
Action |
NEW_FAIL |
Passing last run, failing now. Severity scales with pass streak. |
NEW_PASS |
Failing last run, passing now. Log the win. |
CHRONIC |
Failing > 3 consecutive runs. Recommend operator review. |
STABLE_FAIL |
Always failing. Manifest assertion mismatch — flag for review. |
State in local evals-state.json.
Bootstrap mode
Samples last 5 successful runs of a skill. Computes:
min_words at p25 of historical runs.- Required patterns from common section headers.
- Forbidden patterns from default list (refusals, hedging filler).
Emits the proposed manifest for review. Never auto-commits — assertions need a human signoff.
Rules
- Assertions are observations, not specifications. Bootstrap before writing speculatively.
- Forbidden patterns catch hallucination markers and refusals. Keep the list tight; don't lint stylistic choices.
- Chronic failures get a recommendation, not a re-file.
- Manifest changes are reviewed; never auto-edited by this skill.
---
name: aeon-skill-evals
description: Validate skill outputs against assertion manifests to detect regressions, enforce quality gates, and bootstrap starter manifests from historical runs.
---
# aeon-skill-evals
Quality net for installed skills. Each skill can declare an assertion manifest; outputs are checked against it; failing assertions surface regressions and route concrete fixes.
## Manifest format
```yaml
token-movers:
min_words: 200
required_patterns: ["Top movers", "24h"]
forbidden_patterns: ["I cannot", "as an AI"]
must_cite_source: true
min_distinct_items: 5
narrative-tracker:
min_words: 400
required_sections: ["TRANSITIONS", "POSITIONS", "MAP"]
forbidden_patterns: ["exciting", "consider"]
must_have_position_call: true
```
Supported assertions: `min_words` / `max_words`, `required_patterns` / `forbidden_patterns`, `required_sections`, `must_cite_source`, `min_distinct_items`, `output_pattern` (regex), and per-skill-family custom binary checks.
## Operations
- `eval` — run every manifest-defined skill against its latest output.
- `eval --skill=NAME` — one skill.
- `bootstrap --skill=NAME` — generate a starter manifest from recent successful runs.
## Regression states
| State | Action |
|---|---|
| `NEW_FAIL` | Passing last run, failing now. Severity scales with pass streak. |
| `NEW_PASS` | Failing last run, passing now. Log the win. |
| `CHRONIC` | Failing > 3 consecutive runs. Recommend operator review. |
| `STABLE_FAIL` | Always failing. Manifest assertion mismatch — flag for review. |
State in local `evals-state.json`.
## Bootstrap mode
Samples last 5 successful runs of a skill. Computes:
- `min_words` at p25 of historical runs.
- Required patterns from common section headers.
- Forbidden patterns from default list (refusals, hedging filler).
Emits the proposed manifest for review. Never auto-commits — assertions need a human signoff.
## Rules
- Assertions are observations, not specifications. Bootstrap before writing speculatively.
- Forbidden patterns catch hallucination markers and refusals. Keep the list tight; don't lint stylistic choices.
- Chronic failures get a recommendation, not a re-file.
- Manifest changes are reviewed; never auto-edited by this skill.
